Senior Data Engineer - Azure

About UBDSAt UBDS Group, we are dedicated to enabling organizations to undergo exceptional digital transformations through pioneering technology solutions. Our collaboration spans both public and private sectors as we design and develop products, platforms, and services that truly enhance user experience.We are in search of a Senior Data Engineer who possesses a blend of advanced technical skills and a consulting-oriented mindset. This role is ideal for someone who thrives in uncertain environments, prioritizes user needs, and can transform complex business challenges into scalable, production-ready data solutions.The RoleAs a Senior Data Engineer at UBDS, you will collaborate with clients, designers, analysts, and engineers to conceptualize and implement innovative data solutions from start to finish. You will take the lead on technical strategy, make informed design decisions, and aid teams in delivering high-quality solutions that perform effectively in real-world scenarios.This is a hands-on position that grants you significant influence: you will be building, mentoring others, and assisting clients in recognizing exemplary practices.What You’ll DoTranslate ambiguous business challenges into precise data-driven analytical and technical solutions.Design, construct, and manage production-quality data pipelines, models, and products utilizing SQL, Python, and contemporary data engineering frameworks.Architect across data warehouses, lakehouses, and event-driven architectures, incorporating robust semantic models for analytics and visualization.Deliver solutions on cloud data and AI platforms (AWS/Azure), leveraging solid software engineering, testing, and CI/CD methodologies.Integrate analytics, experimentation, AI/ML, data governance, security, and data quality best practices as standard procedure.Produce clear data visualizations and narratives that empower clients to comprehend and act on insights.Engage closely with users and stakeholders in Agile, client-centric environments, deriving insights from live services and real-world feedback.Exhibit strong critical thinking, meticulous attention to detail, and adherence to industry and governmental standards to create solutions that are straightforward to transition, maintain, and evolve.What We’re Looking ForCore Data & Technical SkillsProficient in converting vague business problems into explicit data, analytical, and technical specifications.Strong expertise in SQL and Python for data modeling, transformation, automation, and analysis.Experience in designing data models and architectures across data warehouses, lakehouses, and event-driven systems, or strong semantic modeling proficiency in Power BI or other visualization tools.Hands-on experience with modern data engineering frameworks, including but not limited to Spark/PySpark, Pandas, and orchestration tools.Familiarity with cloud data and AI platforms on AWS or Azure (e.g., Databricks, Redshift, Bedrock, Microsoft Fabric).Solid foundation in software engineering principles, including Git, testing, and CI/CD practices.

Join Our Team as an Azure Data EngineerAt UBDS Group, we empower organizations to achieve impactful digital transformations using cutting-edge technology solutions. Collaborating with clients from both the public and private sectors, we design and implement products, platforms, and services that significantly enhance user experiences.We are on the lookout for a passionate Data Engineer who thrives on working with data and technology to tackle real-world challenges. If you're curious about how things work, enjoy collaborating within delivery teams, and are eager to craft robust and well-architected data solutions, we want to hear from you!Your RoleAs a Data Engineer at UBDS, you will be an integral part of multidisciplinary teams, working alongside clients, designers, analysts, and engineers to deliver state-of-the-art data solutions. Your contributions will include designing and building data pipelines, models, and analytical products while learning from seasoned professionals and adhering to industry best practices.This hands-on role offers the opportunity to develop your technical expertise, collaborate closely with colleagues, and gain valuable experience in deploying solutions that function seamlessly in real-world contexts.Key ResponsibilitiesTranslate business challenges into actionable data, analytical, and technical tasks with guidance from senior colleagues.Design, construct, and maintain data pipelines, models, and products utilizing SQL, Python, and contemporary data engineering tools.Engage with data warehouses, lakehouse platforms, and event-driven architectures, including the development of semantic models for analytics and visualization.Contribute to solutions built on cloud data and AI platforms (AWS/Azure), adhering to sound software engineering, testing, and CI/CD practices.Implement analytics, experimentation, AI/ML integration, governance, security, and data quality measures as part of your team’s delivery.Create clear and insightful data visualizations that empower users to understand and act on findings.Collaborate closely with users and stakeholders in Agile, client-focused settings, leveraging live services and user feedback for continuous improvement.Ensure compliance with relevant industry and government standards, contributing to well-documented, maintainable, and easily transferable solutions.

Join UBDS Group as a Senior Data Engineer, where you will be at the forefront of designing, developing, and enhancing scalable data platforms within intricate transformation initiatives. This pivotal role demands extensive knowledge in cloud data engineering, architecture, and DevOps methodologies, with proficiency in both AWS and Azure environments.Your contributions will be crucial in driving high-quality data integration, facilitating advanced analytics applications, and delivering solid, reusable data solutions that align with client objectives.Key Responsibilities Architect and implement scalable, automated data pipelines utilizing cloud-native technologies such as Spark, while integrating with on-premise data sources as necessary. Develop and manage event-driven data architectures, maximizing pipeline efficiency, parallel processing, and proactive risk identification (e.g., fraud detection scenarios). Construct and oversee data access layers and ETL frameworks, allowing for both self-service and ad-hoc data asset onboarding. Innovate reusable data engineering patterns and tools to enhance productivity, scalability, and uniformity across projects. Employ DevOps and software engineering best practices, including Infrastructure as Code (IaC) and Continuous Integration/Continuous Deployment (CI/CD) pipelines. Collaborate with multidisciplinary teams to ensure high standards of data integration, governance, and performance. Operate across hybrid cloud frameworks (AWS and Azure), ensuring secure, resilient, and scalable solutions. Assist in the deployment and optimization of data solutions leveraging services such as: AWS: EC2, EMR, S3, Lambda Azure: Blob Storage and associated services Align efforts with client data strategies, governance frameworks, and security requirements. Foster knowledge sharing and skill enhancement within both UBDS and client teams.

Join UBDS as a Cloud Engineer specializing in Microsoft Azure and become part of our expanding Cloud Platforms team. This position is perfect for a skilled professional who thrives in dynamic client settings, delivering innovative, secure, and scalable cloud solutions. Your contributions will be pivotal in modernizing clients' technology landscapes, transforming outdated systems, and expediting their cloud transition.Key ResponsibilitiesImplement cloud transformation and operational strategies across various client projects.Deploy and oversee essential Microsoft Azure solutions, prioritizing scalability, performance, and security.Assist in designing, building, and migrating cloud environments, adhering to architectural and operational best practices.Modernize and migrate legacy infrastructures and applications utilizing Azure-native tools and services.Collaborate with stakeholders to gather technical requirements, convert them into actionable deliverables, and provide ongoing feedback throughout project cycles.Quickly adapt to shifting client needs and priorities within agile project frameworks.Create high-quality technical documentation and facilitate knowledge transfer initiatives.

Join Sword Group, a premier provider of innovative business technology solutions across the Energy, Public, and Finance sectors. Our mission is to catalyze transformational change for our clients, leveraging cutting-edge technology, specialized teams, and deep domain expertise to establish robust technical foundations across platforms, data, and business applications. We are passionate about utilizing technology to address complex business challenges and collaborate closely with our clients to help them achieve their objectives.About the Role:We are seeking a dynamic and experienced Data Engineer Lead to spearhead our expanding Data & AI business unit. In this strategic leadership role, you will report to the Data & AI Technical Director and significantly influence our engineering capabilities, standards, and technical strategies. You will guide a talented team of Senior Data Engineers, providing hands-on mentorship and ensuring the delivery of high-quality, secure, and scalable data solutions across various client projects.In this position, you'll have the opportunity to work with state-of-the-art Microsoft technologies, including Microsoft Fabric, Power BI, Purview, and Microsoft Foundry. You will play a crucial role in shaping solution design, architectural decisions, and maintaining delivery excellence. Engage with clients from diverse industries, facilitating discovery, design, and delivery processes, while also participating in pre-sales activities by contributing to client discussions, shaping proposals, and advising on solution strategies.This role perfectly balances leadership, technical expertise, innovation, and client engagement, offering significant scope to make a lasting impact on our clients and the evolution of our Data Engineering services.Key Responsibilities:Lead, mentor, and develop Senior Data Engineers, fostering best practices and ensuring high-quality engineering outputs.Provide technical direction, oversight, and guidance across all data engineering projects.Deliver technical assurance through thorough reviews of solution designs, data pipelines, architectures, and implementation strategies.Oversee the design and implementation of scalable, cloud-native data solutions utilizing Azure technologies.Ensure adherence to best practices for ETL/ELT, data modeling, data lakes, governance, and optimization across engineering teams.Support the Data & AI Technical Director in shaping the engineering strategy, standards, and capability roadmap.Act as a senior technical advisor to clients, translating business needs into modern data engineering solutions.Facilitate discovery sessions, workshops, and technical design reviews with stakeholders.Assist the sales team by providing technical expertise during client discussions and contributing to solution design.

UBDS Group Holdings is seeking a Technical Architect focused on Data Platforms to join the team in Manchester. This role centers on leading the design and development of large-scale, cloud-based data platforms for a varied client base. Role Overview The Technical Architect shapes solution design patterns, upholds architectural standards, and supports strategic migrations and transitions between AWS and Azure environments. Collaboration with engineering, DevOps, and quality teams is integral to ensuring robust delivery and platform evolution. Main Responsibilities Develop and refine architecture patterns for data ingestion, processing, and access. Design scalable, resilient, and cost-effective data solutions using a Hub and Spoke model. Help build new data ingestion pipelines for both batch and real-time use cases. Ensure all solutions comply with established architectural standards and governance frameworks. Contribute to the creation of target architecture roadmaps. Advise on architectural choices for: Data ingestion: Kafka, APIs, SFTP Data processing: PySpark, EMR, Glue Storage: S3 and data lake architectures Work closely with DevOps, Data Engineers, and Quality Assurance to support seamless project delivery. Promote engineering best practices, including CI/CD, infrastructure as code, and observability. Oversee schema evolution and manage changes to upstream data sources. Lead onboarding of new data sources and services onto the platform. Ensure solutions meet requirements for: Data quality and consistency Performance and scalability Security and compliance Work within defined data modeling ownership boundaries as needed. Support the ongoing development of cloud strategy. Design for portability and adaptability to avoid platform lock-in. Participate in technical decisions that guide future platform direction. Contribute effectively within blended, cross-functional teams. Provide technical leadership and mentorship to delivery teams. Encourage efficient knowledge transfer and skills development. Location This position is based in Manchester, England, United Kingdom.

Founded in 2017, Obsidian Security was established to address a crucial need: securing the SaaS applications integral to modern business operations, such as Microsoft 365, Salesforce, and many more. Supported by leading investors like Greylock, Norwest Venture Partners, and IVP, we have developed a comprehensive SaaS security platform designed to mitigate risks, detect and respond to threats, and prevent breaches at their source. Our team comprises industry leaders who played pivotal roles in shaping endpoint and identity security at companies such as CrowdStrike, Okta, Cylance, and Carbon Black. Currently, we are revolutionizing SaaS security in the age of agentic AI. Today, Obsidian enjoys the trust of global enterprises including Snowflake, T-Mobile, and Pure Storage, safeguarding more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand, including numerous Fortune 1000 and Global 2000 companies. With robust global momentum, an expanding partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraising initiative on the horizon, we are rapidly scaling towards sustainable growth and readiness for an IPO. Join us in defining the future of SaaS security!

Join UBDS Group as a Senior Test Engineer, where you will be pivotal in enhancing our test automation and data validation strategies to support intricate data and cloud transformation initiatives. This position is tailored for engineers with substantial expertise in ETL testing, modern automation frameworks, and cloud-native data solutions.In this role, you will design, build, and refine automated testing solutions, guaranteeing data quality and reliability while aligning with our clients' strategic goals.Key ResponsibilitiesDevelop and deploy automated test frameworks for data pipelines, ETL processes, and cloud-based systems.Lead data validation efforts, ensuring accuracy, completeness, and integrity across complex datasets.Create and maintain test automation using Python and pytest, employing TDD and BDD (Behave) methodologies.Generate and manage test data for effective ETL and data warehousing validation.Drive continuous improvement in automation frameworks, promoting efficiency, reusability, and scalability.Collaborate with engineering teams to integrate shift-left testing practices throughout the development lifecycle.Engage in peer and code reviews, alongside CI/CD processes, to maintain the quality and consistency of deliverables.Support cloud adoption initiatives, leveraging platforms like AWS and Azure, as well as technologies such as Kafka.Identify opportunities for re-use and standardization, contributing to a comprehensive toolbox of data engineering and testing patterns.Ensure testing outcomes are aligned with client strategies, including Digital, Data, and Analytics objectives.Facilitate knowledge transfer and skill development within client teams to ensure sustainable delivery.

At Turnitin, we recognize that AI and data science are fundamental to our achievements and ambitious product strategy. As a Senior AI Data Engineer, you will join a dynamic global team of proactive and independent professionals dedicated to crafting sophisticated, well-structured AI and data systems. You will be at the forefront of developing our next-generation data and AI pipelines, significantly scaling our team's impact. You'll collaborate across various teams within Turnitin to integrate AI and data science into a diverse range of products aimed at enhancing learning, teaching, and academic integrity.Key Responsibilities:AI Data Infrastructure & Pipeline Management: Design, build, and operate scalable real-time data pipelines that facilitate ongoing Applied AI model training. Implement and maintain robust data infrastructure utilizing AI techniques and engineering best practices to ensure continuous model improvement.Data Collection: Lead efforts to collect, normalize, and store data from various sources, including external LLM providers.Collaboration: Work closely with AI R&D, Applied AI, and Data Platform teams to ensure smooth data flow and adherence to quality standards. Collaborate with stakeholders to curate and catalog high-quality datasets that support Applied AI retraining workflows and business goals.Support for AI R&D: Contribute to AI Research & Development initiatives by leveraging advanced data warehousing and engineering technologies. Engage in exploratory data projects to extract insights from Turnitin's extensive datasets.Communication: Foster clear communication across teams, aligning with the company vision while sharing insights on data infrastructure requirements and potential innovations.Technology Evolution: Stay updated with emerging tools and methodologies in AI data engineering, providing recommendations to enhance our AI data infrastructure and capabilities.

Salary: £28,300Assessment Centre Dates: JuneStart Date: Monday 7th September 2026 Role overview This Trainee Data Engineer Apprenticeship is based in Manchester and centers on supporting the operations, maintenance, and improvement of interactive investor's Data Platform. Apprentices work alongside experienced Data Engineers, gaining practical experience with data ingestion, transformation, and structuring from sources such as customer activity, transactions, marketing, web analytics, and market feeds. These efforts help drive analytics, Data Science, and machine learning projects across the business. The role offers hands-on development in Python and SQL, and involves working with data pipelines managed by Dagster. Apprentices deliver data to the Snowflake Data Warehouse and follow established standards for data quality, observability, security, and governance. There are opportunities to present data using Streamlit and Power BI, and to support Intelligent Automation projects that bring AI-assisted steps into business workflows. Key responsibilities Support daily Data Platform operations under supervision, including monitoring scheduled jobs, troubleshooting failures using runbooks, and escalating issues when necessary. Contribute to the development and maintenance of ELT/ETL pipelines with Dagster, manage dependencies and alerts, and suggest improvements during code reviews. Help build and maintain data warehouse structures such as star schemas, snapshot tables, and slowly changing dimensions with guidance from the team. Prepare, test, and document reusable SQL queries and data extracts for Data Analysts and business users, ensuring peer review where required. Assist with Data Request tickets by gathering requirements, drafting queries, validating results with reviewers, and documenting outcomes.

Join Anaplan, a trailblazer in business decision-making optimization, where we harness the power of our AI-enhanced scenario planning and analysis platform. Our mission is to empower our customers to surpass their competition and thrive in the market.At Anaplan, we pride ourselves on our unwavering dedication to customer success and our vibrant Winning Culture.Our clientele includes industry giants like Coca-Cola, LinkedIn, Adobe, LVMH, and Bayer among over 2,400 global partners, all of whom depend on our top-tier platform.Our Winning Culture fuels our team of innovators. We celebrate diverse thoughts and ideas, embrace leadership at all levels, strive for ambitious objectives, and revel in our achievements—big and small.Guided by principles that emphasize strategy, values, and disciplined execution, you'll find inspiration, connection, development, and rewards here. We welcome your uniqueness—come join us and help shape the future together!Team OverviewThe Data Engineering team is pivotal in creating and sustaining the company’s data ingestion and processing pipelines. This role will collaborate closely with data scientists, software engineers, business analysts, and technical leads to establish a dependable data infrastructure that fosters informed decision-making for apparel brands and retailers. The position reports to the Technical Lead within the Data Engineering department.Your ImpactEnhance and develop data ingestion and processing pipelines.Collaborate with product managers, data scientists, and engineers to maintain accurate and robust data infrastructure for managing both first- and second-party data.Partner with technical leads and senior engineers to make informed data architecture decisions and implementation strategies.Support the team in delivering scalable solutions while expanding your expertise.Participate in a collaborative environment that values creativity and continuous improvement.Contribute to the construction and maintenance of data pipelines that support AI and decision-making tools.

Are you ready to redefine the future of data integration?At Matillion, we are pioneers in intelligent data integration solutions, revolutionizing the way businesses harness the power of their data.We are on a mission to transform data productivity globally, and we are looking for passionate, innovative thinkers who are motivated to make a significant impact.Our platform, the Data Productivity Cloud, is designed to enhance data productivity, and our latest innovation, Maia, features AI-powered virtual data engineers that enable teams to create, build, and manage data pipelines with unparalleled speed.Join #TeamGreen, where our mission drives us, collaboration propels us forward, and together we aim to make a substantial impact in the data industry.Position OverviewAs a Senior Staff Software Engineer within our Maia team, you will play a crucial role in our innovative endeavors: developing agentic AI systems, creating new tools and integrations, and staying abreast of the latest advancements in Generative AI. This role transcends traditional engineering; it is high-impact work where your contributions will significantly influence our products.You will lead architectural decisions, mentor fellow engineers, and contribute to strategic planning. Our environment is dynamic, where requirements shift rapidly and new challenges arise, making it essential to find someone who thrives in such a setting. If you are a Java expert with experience in Claude, Gemini, and agentic workflows, and you aspire to implement these technologies at scale within a world-class engineering team, this opportunity is for you.This position offers a hybrid work model based in our Manchester office. We believe in the power of collaboration and encourage a minimum of 2 days per week in the office to foster relationships and cultivate the culture that drives exceptional engineering.

Join UBDS Group as a Senior DevOps Engineer, where you will design, build, and manage cutting-edge cloud-based solutions across complex transformation projects. This pivotal role demands extensive proficiency in multi-cloud platforms such as AWS and Azure, emphasizing automation, scalability, and robust service delivery.As a Senior DevOps Engineer, your contributions will empower engineering teams to deliver exceptional, high-quality solutions by leveraging contemporary DevOps methodologies, platform engineering, and cloud-native tools.Key Responsibilities Architect, develop, and sustain cloud-based services and infrastructure across AWS and Azure environments. Create and uphold CI/CD pipelines for reliable and consistent deployment processes. Design and manage Infrastructure as Code (IaC) to ensure scalable and secure environments. Facilitate multi-cloud strategies, guaranteeing interoperability and uniformity across AWS and Azure. Partner with development and data teams to integrate DevOps best practices throughout the delivery lifecycle. Maintain high availability, performance, and security of cloud services. Establish monitoring, logging, and alerting systems to enhance operational excellence. Advocate for automation and standardization to minimize manual workflows and boost efficiency. Assist in incident management, troubleshooting, and root cause analysis. Drive continuous improvement of tools, processes, and engineering standards.Skills & ExperienceEssential Extensive experience in DevOps engineering within cloud environments. Proven track record of developing and supporting cloud-based services. Proficient in AWS and Azure (multi-cloud) platforms. Hands-on expertise with CI/CD tools and pipelines (e.g., GitLab, GitHub Actions, Azure DevOps). Strong knowledge of Infrastructure as Code (e.g., Terraform, ARM, Bicep, or similar). Familiarity with containerization and orchestration (e.g., Docker, Kubernetes). Experience implementing monitoring and logging solutions (e.g., CloudWatch, Azure Monitor, Prometheus, Grafana). In-depth understanding of cloud networking, security, and identity management. Experience working in agile, collaborative delivery environments.Desirable Experience in public sector or regulated environments. Awareness of platform engineering and reusable infrastructure patterns. Experience supporting data platforms or event-driven architectures. Knowledge of security best practices and compliance frameworks. Familiarity with serverless architectures (e.g., AWS Lambda, Azure Functions).Security Requirements This position may necessitate Security Clearance (SC). Candidates must be eligible and prepared to undergo the clearance process.

Join PA Consulting as a Data Engineer and leverage your expertise in data processing, analysis, and visualization to drive strategic decision-making. In this role, you will collaborate with cross-functional teams to create innovative data solutions that enhance business performance.

UBDS Group is hiring a Data Engineer with a focus on AWS technologies, based in Manchester, England. This role suits professionals experienced in building and optimizing data platforms, especially those with a background in cloud data pipelines and distributed data processing. The team values engineers who deliver scalable, reliable solutions and who take pride in maintaining high data quality. What You’ll Do Design, build, and maintain data pipelines and transformation workflows using modern data engineering tools. Develop and manage both batch and real-time data processing solutions. Create curated, reusable data assets to support analytics and reporting. Ensure data quality, integrity, and consistency across multiple sources. Work with data from APIs, file-based ingestion (such as SFTP), and event streams (including Kafka). Tune pipelines for performance, scalability, and cost efficiency. Support the evolution of data platform components and reusable engineering patterns. Follow established architecture and engineering standards. Collaborate with DevOps engineers, testers, and architects to deliver end-to-end solutions. Help onboard new data sources and integrate them into existing platforms. Share knowledge and contribute to continuous improvement within engineering teams. Key Technologies Core Stack AWS (main platform): S3, EMR, Glue Kafka for event-driven processing Python and PySpark for engineering and transformation tasks Terraform for infrastructure as code GitHub for version control and CI/CD Additional / Nice-to-Have Experience Azure data platforms Databricks or Microsoft Fabric Multi-cloud architectures and related tooling This position offers the chance to work alongside a multidisciplinary team, developing data assets that support both operational and analytical needs. UBDS Group values engineers who contribute to knowledge sharing and ongoing improvement across the team.

About the Role PHMG is growing into a more data-driven business and is looking for a Senior Commercial Data Analyst in Manchester (Old Trafford) to help shape how commercial teams find and pursue new opportunities. This role also supports client growth, retention, and service improvement. Location and Working Hours Based in Old Trafford, Manchester Hybrid working available Monday to Friday, 8:45am to 5:15pm Compensation £45,000 base salary £50,000 OTE What You Will Do Work at the intersection of data, Sales, Client Services, and strategic planning Deliver clear insights, scalable processes, and practical recommendations to drive revenue efficiency and improve client outcomes Partner with senior commercial leaders and stakeholders to shape territory strategies, lead prioritization, campaign targeting, and pipeline optimization Influence client portfolio strategies and identify opportunities to improve retention Refine commercial processes across the business What We’re Looking For Strong analytical skills combined with commercial awareness Experience collaborating with senior leaders and cross-functional teams Ability to translate data into actionable business recommendations

Join AECOM as a Principal Mechanical Engineer specializing in Data Centres. In this pivotal role, you will spearhead the design and implementation of cutting-edge mechanical systems within our data centre projects. You will collaborate with cross-functional teams to ensure the highest standards of efficiency and sustainability are met.Your expertise will be crucial in leading project initiatives, optimizing mechanical designs, and ensuring compliance with industry standards. We are seeking a proactive leader with a passion for innovation and a commitment to delivering exceptional results.

Teamwork Makes the Stream Work. Join Roku as We Revolutionize Television ViewingRoku stands proudly as the leading TV streaming platform in the U.S., Canada, and Mexico, with ambitious goals to empower every television globally. As pioneers in the streaming industry, our mission is to connect the entire TV ecosystem. We link consumers with their favorite content, help content creators build and monetize substantial audiences, and offer advertisers innovative means to engage viewers.From your very first day at Roku, your contributions will be both impactful and appreciated. As a rapidly expanding public company, we ensure that every team member plays a vital role in delighting millions of TV streamers worldwide while gaining invaluable experience across diverse disciplines. About the Role We are seeking a Senior Data Scientist to enhance our Core Analytics team, specifically supporting our Viewer Product team. In this role, you will harness data analytics to optimize our Live product, overseeing end-to-end analytics that influence how viewers engage with Live experiences on Roku. Collaborating closely with product management and engineering teams, you will identify opportunities to innovate new features, drive user adoption, and generate substantial value for Roku. The ideal candidate will be data-driven, detail-oriented, and possess exceptional problem-solving abilities. What You'll Be Doing

Mark43 is an approved employer in Canada, the UK, and 36 U.S. states, including Alabama, Arizona, California (excluding San Francisco), Colorado, Connecticut, Washington D.C., Florida, Georgia, Iowa, Idaho, Illinois, Indiana, Kansas, Massachusetts, Maryland, Maine, Michigan, Minnesota, Missouri, North Carolina, Nebraska, New Hampshire, New Jersey, New Mexico, New York, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Vermont, Washington, Wisconsin, and West Virginia. Before applying for a remote role, please ensure that you can perform the position in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift. Applicants must be authorized to work for any employer in the country in which the role is being hired. We are unable to sponsor or take over sponsorship of an employment visa at this time.At Mark43, our mission is to empower communities and their governments through innovative technologies that enhance safety and quality of life for everyone. We develop robust, scalable, and sophisticated software that sets a new benchmark for the tools relied upon by first responders. Our team is diverse, and we are dedicated to fostering inclusivity and a variety of perspectives.We are currently seeking a Data Migration Engineer (ETL Developer) to join our dynamic team. In this pivotal role, you will play a crucial part in the customer transition experience, designing and implementing complex data migrations that allow agencies to confidently adopt Mark43’s systems. You will collaborate with internal teams and external partners to ensure the seamless delivery of clean, meaningful, and high-quality data into Mark43 products.This position is ideal for individuals who enjoy solving intricate challenges, are passionate about working with public safety data, and thrive in a role that balances technical expertise with customer interaction.What You Can Expect to Work On:If you were part of our team last week, you would have:Designed and executed a SQL-based ETL process to migrate decades of public safety data from a legacy system into the Mark43 platform.Collaborated with our data migration contractors, reviewing technical deliverables and providing guidance to help them succeed.

bet365 is looking for a Data Engineer with experience in Google Cloud Platform (GCP) to join the team in Manchester. This position centers on building and maintaining data pipelines that support analytics projects across the company. Role overview The Data Engineer will design, develop, and manage data pipelines on GCP. The work involves ensuring data flows efficiently and remains accessible for analytics teams. A strong background in cloud technologies is essential for optimizing the company's data infrastructure. What you will do Design and construct data pipelines using Google Cloud Platform tools Maintain and improve existing data infrastructure Support seamless integration and data accessibility for analytics teams Requirements Experience with Google Cloud Platform in a data engineering context Background in designing, building, and maintaining data pipelines Ability to optimize data infrastructure for analytics needs