Data Engineering Manager

Join the leading gift experience provider in the UK, Buyagift and Red Letter Days, where we transform special moments into unforgettable memories! With a diverse selection of over 4000 experiences ranging from spa days to thrilling skydives, we excel in delivering the gift of surprise. As part of the esteemed Moonpig Group, our vision is to establish ourselves as the most reliable platform within the UK gift experience sector. Our mission centers on spreading joy through thoughtful, enriching experiences that resonate with our customers. People are integral to our operations. Since becoming a part of the Moonpig Group in 2022, we have thrived on strong values, innovative ideas, and a unified passion for making a genuine impact. Here, you will have the opportunity to create unforgettable experiences and foster meaningful connections.Position: Data Engineering Manager | London – Hybrid (2 days in office) | Competitive Salary + BenefitsRole OverviewWe are seeking a talented Data Engineering Manager to spearhead our Data Engineering team at Buyagift & Red Letter Days, a proud member of the Experience More group.This pivotal role involves utilizing data to enhance our business understanding and improve customer service. You will lead a team of data engineers dedicated to developing and maintaining a robust, scalable, and secure data infrastructure, ensuring timely access to the right data for the right individuals.Your responsibilities will blend team leadership with hands-on technical oversight, guiding our data strategy, data models, and architecture while enhancing data quality and governance. Collaborating closely with business stakeholders, you will design and implement structured, reliable data that supports reporting, analytics, and informed, data-driven decisions.

Role Overview Utility Warehouse is looking for a Data Engineering Manager to shape and execute its data strategy in London. This role leads a team of data engineers focused on building and maintaining data pipelines that power analytics and business intelligence across the company. What You Will Do Manage and mentor a team of data engineers, supporting their growth and performance Design and implement data pipelines to meet analytics and reporting needs Work with cross-functional partners to understand data requirements and deliver solutions Guide the team through technical challenges in data architecture and engineering Help turn data into actionable insights that support business growth What We’re Looking For Experience leading data engineering teams Strong background in data architecture and pipeline development Ability to collaborate across teams and communicate technical concepts clearly Interest in using data to support decision-making and business outcomes This position is based in London.

yuno is looking for an Engineering Manager to join the Data Platform team in London. This position centers on strengthening the company’s data infrastructure, which is essential for collecting, managing, and using data across multiple products and teams. Role overview The Engineering Manager will oversee a group of engineers dedicated to the development and performance of yuno’s data platform. The work involves guiding the team through the design and implementation of data systems that are both scalable and reliable. What you will do Lead and support a team working on the data platform’s development and ongoing performance. Direct the design and rollout of data systems built for scale and reliability. Encourage a collaborative and creative team culture. Ensure delivery of data solutions that align with business goals. Location This role is based in London.

Join Storio Group as an Engineering ManagerRole Overview:We are on the lookout for a skilled Engineering Manager specializing in Data to lead our dynamic London-based data team. Your primary focus will be to develop and enhance a platform that fosters a decentralized data adoption model throughout our organization.At Storio, we prioritize delivering reliable and actionable data that fulfills business requirements. We’re eager for you to build and manage a high-performing team dedicated to this objective. If you have a background in software engineering management with a focus on data, we would love to hear from you!Our data and AI team is expanding across the UK and the Netherlands, serving as the backbone for various data-driven consumers and platforms within Marketing, Finance, Operations, and Product teams.Our AI photo services are pivotal to enhancing customer experience, and we are broadening our efforts towards decentralized machine learning adoption within the business. Following a series of mergers, our team has unified and is transitioning from a phase of simplifying legacy systems to a stage of consolidation and growth.Our Technology Stack:• Cloud Data Warehouse - Snowflake• AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda• Data Governance & Quality - Collate & Monte Carlo• Infrastructure as Code - Terraform• Data Integration & Transformation - Python, DBT, Fivetran, Airflow• CI/CD - Github Actions / Jenkins

Funding Circle connects small businesses in the UK with fast access to funding, helping them grow and contribute to the broader economy. The company’s platform simplifies the lending process, allowing businesses to secure capital in minutes instead of waiting weeks. Culture At Funding Circle, the team blends the adaptability of a fintech start-up with the reliability of a public company. Employees, known as Circlers, are empowered to make meaningful decisions. Collaboration, open communication, and high standards guide daily work and foster a supportive environment. Company Impact Businesses using Funding Circle’s platform contributed £7.2 billion to the UK economy last year. Every team member plays a role in driving this impact.

Job Title: Engineering Manager - Data Platform & Analytics Engineering Location: London, Bristol or Edinburgh (Hybrid options available) Salary: £92,800 - £115,000 Reporting to: Head of Data Science & Products Eligibility: Must have the right to work in the UK; visa sponsorship is currently not available. Kaluza is at the forefront of reshaping the energy landscape through our Energy Intelligence Platform. We empower energy companies to navigate the complexities of modern energy demands while driving the transition to a sustainable, electrified future. Utilizing cutting-edge Data, AI technologies, and real-time decision-making, we convert energy challenges into growth opportunities for our partners. Our innovative approach combines predictive algorithms with user-centric design, ensuring that clean energy remains reliable and affordable. With a diverse team spanning Europe, North America, Asia, and Australia, and a strategic partnership with Mitsubishi Corporation in Japan, we are proud to support industry leaders such as OVO, AGL, and ENGIE, along with pioneering companies like Volvo and Volkswagen. Join the Kaluza Data Community: Data is pivotal to our mission, and we seek curious minds who can transform data into actionable insights and strategies. You will be instrumental in enhancing the Kaluza platform, a pioneering technology designed to revolutionize energy retail operations globally, with a focus on regional adaptability and decarbonization efforts.

At Intercom, we are revolutionizing customer service through AI technology. Our mission is to empower businesses to deliver exceptional customer experiences by leveraging our advanced AI agent, Fin. This cutting-edge solution enables businesses to provide round-the-clock, flawless customer service and significantly enhances customer interactions. By integrating Fin with our Helpdesk, we offer the Intercom Customer Service Suite, a comprehensive solution tailored for complex queries requiring human assistance.Founded in 2011, Intercom has earned the trust of nearly 30,000 businesses globally, setting a new benchmark for customer service excellence. We are driven by core values that inspire us to push boundaries, innovate rapidly, and consistently deliver outstanding value to our clients.What Opportunities Await You?The demand for data at Intercom is skyrocketing, driven by our growth and ambition to integrate sophisticated, AI-driven data solutions. Our Data Engineering team is the heartbeat of our organization, responsible for constructing and upholding the infrastructure that transforms raw data into actionable insights, empowering teams across Product, Research, and more. We seek an experienced Senior Data Engineering Manager to lead pivotal data initiatives and propel our efforts forward.Key ResponsibilitiesThis role emphasizes impact and leadership. You will guide a team dedicated to designing and refining the core infrastructure that forms the backbone of our data ecosystem.Next-Gen Platform Evolution: Collaborate with product and business teams to architect and implement the next generation of our data stack, ensuring it meets the requirements of advanced analytics and AI applications.Enablement Through Tooling: Work closely with Analytics Engineers, Analysts, and Data Scientists to develop the self-service tools and infrastructure necessary for swift and secure deployments.Data Quality Guardianship: Establish advanced monitoring systems to proactively identify, highlight, and resolve data quality issues within our high-volume environment.Driving Automation: Create automation and tools that simplify the generation and discovery of high-quality analytics data, enhancing the overall efficiency of the data lifecycle.Your Strategic ImpactIn this pivotal role, you will not only shape our data strategy but also significantly influence the direction of our data infrastructure, enabling us to harness the power of data to drive business success.

Join Trainline as a Data Engineer and become an integral part of our dynamic data team. In this role, you will leverage cutting-edge technologies to build and maintain robust data infrastructure that supports our mission of providing seamless travel solutions. Your expertise will contribute to optimizing data pipelines, ensuring data quality, and delivering actionable insights that drive strategic decisions.

Role overview hmgroup needs a Senior Data Engineer based in London to influence how data is used across the company. This position centers on building and maintaining systems that move and organize large amounts of data, helping teams make informed decisions. Main responsibilities Design and manage data pipelines that process significant data volumes Build architecture to ensure reliable data processing and analytics Convert raw data into insights that support teams throughout hmgroup

About the Role: As we experience rapid growth, our Engineering team is set to expand in the next three months, and we are actively seeking an Engineering Manager to join Bluefish’s engineering leadership team. This position is not merely about leadership; it represents a unique opportunity to influence the trajectory of a dynamic, product-focused startup during a pivotal growth phase. In this capacity, you will oversee our Data Engineering team, tasked with developing the pipelines and infrastructure that fuel our AI-driven commerce intelligence platform. Our systems handle and process hundreds of millions of synthetic prompts and signals, with expectations of significant scaling as our traffic increases exponentially in the upcoming months. A key aspect of this role involves guiding the team in evolving our data platform towards a scalable data lake architecture while ensuring the reliability of essential production pipelines utilized by enterprise clients. You will be at the forefront of execution, quality, and team culture. Your leadership will help transition early-stage momentum into a mature, high-performing team while maintaining the agility and pace that characterize outstanding startups.

Role Overview:We are looking for a talented Data Engineer to contribute significantly to a vital client initiative. This role will involve the design, construction, and optimization of data pipelines within a cloud-centric data and analytics ecosystem. The ideal candidate will possess a solid foundation in data engineering principles, a commitment to delivering reliable solutions, and the capability to work collaboratively with both technical and business teams.Key Responsibilities:Data Engineering & Pipeline DevelopmentDesign, build, and sustain scalable data pipelines for both batch and streaming workloads.Develop robust ingestion, transformation, and curation processes using contemporary data engineering tools and methodologies.Create and maintain data models, curated datasets, and integration layers to facilitate analytics and reporting.Enhance data processing for optimum performance, reliability, and cost-effectiveness.Data Quality, Governance & SecurityEstablish data quality checks, validation processes, and automated monitoring.Ensure comprehensive and accurate data lineage, metadata management, and documentation.Implement necessary security measures, including role-based access controls, data masking, and protection of sensitive information.Cloud & Platform EngineeringUtilize cloud-native services for storage, compute, and workflow orchestration.Oversee pipeline and platform performance, identifying and resolving any issues or bottlenecks.Assist in configuring environments, standardizing processes, and implementing best practices.DevOps, Automation & ObservabilityLeverage CI/CD practices to deploy code, configurations, and data assets across different environments.Maintain version control, engage in code reviews, and adhere to release processes.Construct monitoring, alerting, and logging systems to support high-quality operations and quick issue resolution.Collaboration & DeliveryWork closely with technical and business stakeholders to ensure alignment and successful project delivery.

Checkout.com supports online payments for major brands including eBay, ASOS, Klarna, Uber Eats, and Sony, processing billions of transactions every year. With a presence in 19 offices across six continents and headquarters in London, the company emphasizes high performance, continuous improvement, and innovation. Employees contribute directly to shaping the future of fintech. Role overview The Senior Engineering Manager - Data Platform leads the Data and AI Platform Team. This group provides the systems and tools that enable products, merchants, and internal teams to make effective use of data and AI. The goal is to maximize time spent on innovation and solving business problems, while reducing the complexity of technical implementation, deployment, and monitoring. As Checkout.com grows, the Data Platform must scale to support hundreds of teams and manage petabyte-scale data volumes. What you will do Guide the team in designing technical architecture and building user-focused systems and tools. Oversee technical delivery and operational reliability, driving process automation and maintaining high engineering standards. Ensure service levels (SLAs/SLOs) are met with minimal manual intervention. Manage a team of Junior and Senior Data Engineers, providing hands-on support when needed. Foster an inclusive culture and mentor team members in both technical and interpersonal development. Lead quarterly execution of roadmap deliverables, ensuring alignment with business objectives. Location This position is based in London.

Role overview Nagarro seeks a Principal Engineer - Senior Project Manager in Data Engineering for its London office. This position focuses on leading complex data engineering initiatives from initial planning through delivery. The role blends hands-on technical leadership with project management, guiding a team to create scalable data solutions that support changing business requirements. What you will do Lead and manage a team of data engineers on large-scale projects Oversee the design and implementation of scalable data architectures Translate business requirements into practical, innovative data solutions Drive data strategy and ensure alignment with organizational goals Mentor and inspire team members, encouraging technical growth and collaboration Requirements Extensive experience in data engineering and project management Strong technical background in designing and implementing data solutions Proven ability to lead, inspire, and develop engineering teams Skilled at turning business needs into effective data strategies Nagarro values candidates who combine technical expertise with a collaborative leadership approach.

Join Trainline as a Junior Data Engineer and embark on an exciting journey to revolutionize the rail travel experience through data-driven solutions. In this role, you will collaborate with a dynamic team of professionals, utilizing cutting-edge technologies to manage and optimize our data infrastructure. Your contributions will directly impact our mission to simplify rail travel for millions of customers.

Note: This position requires 4 days of in-office work in Central London and 1 day of remote work.Key Responsibilities:Develop features, resolve issues, and perform daily monitoring on the cloud delta lakehouse data platform.Collaborate within an agile technical team, actively engaging in all ceremonies, including daily stand-ups and backlog refinement sessions.Make architectural decisions, mentor junior engineers, and contribute to the establishment of engineering standards, documentation, and reusable frameworks.Experience Required:Minimum of 10 years of overall experience in data engineering.At least 5 years of experience in a data warehouse solution landscape.Proven experience leading complex data initiatives and making architectural decisions.Familiar with agile delivery methodologies, preferably SCRUM or Kanban.Ability to take ownership of data issues, conduct investigations and root cause analysis, and implement fixes through code and data modifications.Understanding of data warehouse testing strategies and quality assurance processes.Proficient in git branching strategies and code management.Solid understanding of technical release management processes in Azure DevOps.Strong communication skills, capable of driving alignment, collaboration, and efficiency within teams.

Join our team as a Senior Data Engineer specializing in AWS!Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: PermanentAbout the RoleWe are seeking a talented Senior Data Engineer with expertise in AWS to be a key player in our dynamic team of engineering professionals. You will spearhead the design, construction, and deployment of innovative cloud-based data pipelines that drive transformative outcomes for Tier 1 financial services clients. Your contributions will significantly enhance data ingestion, transformation, and delivery at scale across the financial services landscape.Your ResponsibilitiesDesign and implement end-to-end data pipelines using AWS-native tools and cutting-edge data architectures.Collaborate closely with clients to gather requirements, craft tailored solutions, and deploy production-ready systems.Utilize AWS Well-Architected Principles to ensure your solutions are scalable, secure, and resilient.Lead the development of robust, thoroughly tested, and fault-tolerant data engineering solutions.Mentor junior engineers, fostering a culture of knowledge sharing and continuous learning within the team.What We Seek

About the RoleJoin Teza Technologies as a Data Engineer in our dynamic data team, where data is the heartbeat of our systematic trading and vital to every facet of our operations.This hands-on role within a growing team of data engineers offers significant potential for career advancement, as we anticipate rapid growth over the coming years. We seek candidates with exceptional technical expertise, meticulous attention to detail, and a proven track record in architecting and developing robust data platforms.LocationHybrid role based in London, UK, with a requirement of 3 days in-office each week.Key ResponsibilitiesCollaborate with Portfolio Managers and Quantitative Developers to translate business needs into effective technical solutions while providing insights into dataset intricacies.Enhance our data warehouse by designing and integrating new data sources and functionalities; boost system reliability, speed, and scalability while overseeing data access management.Contribute innovative data management, analytics, and technological insights to the team and leadership.Assess and recommend new tools and technologies for organizing, querying, and streaming extensive datasets.Create and implement automated systems for data cleansing, anomaly detection, monitoring, and alerting.Provide support for our production data warehouse as needed.Cultivate and maintain strong vendor partnerships aligned with our business objectives.Essential QualificationsProficiency in Python and Unix/Linux for data manipulation, scripting, and automation.Deep understanding of SQL and familiarity with NoSQL databases, especially Postgres and MongoDB, with skills in query optimization and performance tuning.Strong grasp of data modeling principles, including both normalization and denormalization techniques.Experience with cloud platforms, such as AWS or GCP.Familiarity with Git version control, collaborative workflows (e.g., Github), and CI/CD best practices.Bachelor’s degree in Computer Science, Information Technology, or a related field.Preferred Qualifications...

About XYZ RealityXYZ Reality is an innovative, award-winning Series-A startup on the cusp of our next funding round. Our goal is to enhance our platform by improving its features, performance, and scalability, all while transforming the construction industry.As a dynamic multi-disciplinary organization, we operate across various fields such as cloud development, data governance, data processing pipelines, electronics, embedded software/hardware, mechanical design/manufacturing, AI & computer vision, and data science, all contributing to the efficacy of our Building Information Modeling (BIM) Platform.To help propel our mission, we are in search of a Senior Data Engineer who possesses extensive experience in data modeling, database management, and data pipeline development. The ideal candidate will play a pivotal role in maintaining our existing tech stack and developing new features with an emphasis on performance and scalability. Collaboration with our API/backend development and data pipeline teams will be crucial to create robust and efficient solutions.

With Intelligence, now a part of S&P Global, is at the forefront of revolutionizing data offerings for participants in alternatives and private markets. As a member of a global organization boasting over 35,000 employees, we possess the unique ability to understand intricate nuances while maintaining a wide-ranging perspective. We empower our clients to assess new investment opportunities within the capital and commodities markets, navigate the energy sector's expansion, harness the acceleration of artificial intelligence, and adapt to the evolving landscape of public and private markets. Our mission is to advance essential intelligence.We are embarking on an exciting phase of growth, with significant funding aimed at transforming us into a pioneering, data-centric platform that places information, automation, and insights at its core.To meet the escalating demands of a dynamic, data-driven organization, we are expanding our data capabilities. This role is an outstanding opportunity for an enthusiastic individual ready to make a tangible impact while engaging with cutting-edge tools and contributing to our data strategy across products and teams.Your ResponsibilitiesDesign, develop, and maintain scalable data architectures and ETL pipelines.Build and manage data models and data warehouse solutions utilizing Airflow, dbt, and Redshift.Write clean, efficient Python and SQL code for data processing and transformation.Integrate data from internal and third-party APIs and services.Optimize data pipelines for performance, scalability, and reliability.Collaborate with data scientists, analysts, and engineering teams to fulfill business requirements.Implement and uphold data security and compliance standards.Utilize version control systems (e.g., Git) to manage and maintain project codebases.Contribute to the ongoing enhancement of data processes and tooling across the organization.

About UsAt Trainline, we are passionate advocates for rail travel, dedicated to crafting a sustainable and eco-friendly travel future. Our platform empowers millions of travelers to discover and reserve the most cost-effective tickets across various carriers and journey options via our award-winning mobile app, website, and B2B partnerships.Join the Journey with Trainline As Europe's leading rail app, we boast over 125 million monthly visits and generate £5.9 billion in annual ticket sales. Collaborating with over 270 rail and coach companies across more than 40 countries, we aim to make travel simple, seamless, and affordable.With our team of over 1,000 talented individuals from more than 50 nationalities, our offices span London, Paris, Barcelona, Milan, Edinburgh, and Madrid. With growth at the forefront of our mission in the UK and Europe, now is the ideal time to embark on this exciting journey with us.The Data Engineering Team at Trainline As a Principal Data Engineer, you will serve as a senior technical leader, working across various teams to instill best practices, elevate engineering standards, and drive ambitious data, ML, and AI projects.You will proactively identify high-impact challenges across cross-functional squads, collaborating closely with Machine Learning Engineers (MLEs), ML Engineering Managers, and Product and Platform teams to create robust, scalable, and future-proof data foundations for ML-driven products, including our innovative Travel Assistant.Embedded Data Engineering (Embedded DE) is a vital aspect of your role. You will integrate within ML-led teams, shaping architecture, guiding implementation, and ensuring alignment between Data Engineering and ML Engineering best practices across Trainline.Key Responsibilities as a Principal Data Engineer: Act as a technical authority across multiple teams, establishing standards and frameworks for data and ML-adjacent infrastructure.Collaborate with ML teams to design, develop, and enhance data platforms that support AI and ML workloads.Influence technical direction while not holding direct line management responsibility.Partner with the Data Engineering team to drive excellence in data management practices.