Data Engineer - Dry Bulk Commodities

Role Overview Tulip is hiring a Data Operations Engineer to help manage and improve data operations. This role focuses on maintaining data quality, refining workflows, and supporting the efficiency of daily processes. The position is based in Budapest, Munich, or Tel Aviv. What You Will Do Work closely with teams across the company to ensure data remains accurate and reliable Identify opportunities to streamline data-related processes Support ongoing efforts to improve the efficiency of data operations Location Budapest, Hungary Munich, Germany Tel Aviv, Israel

Join our dynamic team at NielsenIQ as a Junior Data Operations Analyst where you will play a crucial role in managing and analyzing data operations. This entry-level position is perfect for detail-oriented individuals who are eager to kickstart their careers in data analytics and operations.As a Junior Data Operations Analyst, you will be responsible for supporting data processes, ensuring data accuracy and integrity, and assisting in the development of data solutions. You will work closely with various departments to enhance data flow and reporting capabilities.

Join our team as a Lead Data Engineer and play a pivotal role in shaping data engineering strategies at DEPT®. Our hybrid work environment spans across vibrant cities including Budapest, London, Manchester, Amsterdam, Rotterdam, Dublin, Zagreb, and Split.At DEPT®, we empower the world’s most ambitious brands to accelerate their growth, blending technology and marketing through our expert team of over 4,000 specialists. We are proud to partner with industry leaders such as Google, Lufthansa, Meta, eBay, and OpenAI, and have maintained our B Corp and Climate Neutral certifications since 2021.In our Data & AI practice, we are dedicated to producing groundbreaking work that leverages Data & AI across various sectors. As a member of our EMEA Data craft team, you will collaborate with data strategists, scientists, and analysts to tackle complex challenges faced by beloved global brands.As a Lead Data Engineer, you will guide your team in delivering innovative, enterprise-scale data solutions, combining your technical expertise with strong business insights to meet client objectives.

The Exciting Opportunity This position plays a vital role in architecting and enhancing our platform to meet business demands while optimizing our systems. In this role, you will have the opportunity to develop new data pipelines, manage platforms hosted on data streams for both batch and real-time loading, and create real-time visualizations. Key Responsibilities: Maintain and enhance our existing data platform. Develop processes to ingest data from Kafka, APIs, and databases using AWS MSK Connect. Design and maintain real-time data processing applications utilizing frameworks such as Spark Structured Streaming and Kafka Streams. Implement transformations on data streams. Participate in data modeling adhering to standards like Inmon, Kimball, and Data Vault. Ensure data quality by verifying consistency and accuracy. Stay current with research and advancements in technology to improve our data platform. Possess an investigative mindset to troubleshoot issues creatively and manage incidents effectively. Take full ownership of assigned projects and tasks while collaborating within a team environment. Document processes thoroughly and conduct knowledge-sharing sessions. What We're Looking For: Essential Qualifications: Proven experience with modern cloud database technologies, especially Snowflake. Expertise in orchestrating data pipelines using Airflow. Proficient in AWS Glue. Familiarity with Apache Iceberg. Strong experience with SQL and Data Integration Tools. Proficiency in programming languages such as Python or Scala. Knowledge of AWS Services like S3, Lambda, API Gateways, DMS, and RDS. Development experience in Microsoft and Linux/Cloud environments. Exceptional analytical and problem-solving skills.

Join our esteemed client, a well-established IT consulting firm with over two decades of expertise in executing large-scale technology projects across various sectors. Their enduring collaborations with major organizations demonstrate their technical prowess and financial reliability, bolstered by consistently high external credit ratings. Operating with a streamlined core team, the company boasts low turnover rates and fosters a collaborative culture built on trust, long-term partnerships, and a commitment to high-quality deliverables. With engagements spanning telecommunications, healthcare, and academia, this role offers engineers the chance to work on diverse and intricate projects while enjoying a flexible and supportive work environment.We are seeking a Senior Data Engineer to help manage extensive data environments characterized by high-volume datasets, intricate integrations, and analytical applications. This hands-on engineering position emphasizes the creation and upkeep of data pipelines, in-depth understanding of end-to-end data flows, and resolution of data quality concerns across distributed systems.You will collaborate closely with engineers, analysts, and stakeholders to ensure the delivery of reliable, scalable, and well-structured data solutions that enhance analytics and machine learning efforts.Key Responsibilities:Design, construct, and sustain scalable data ingestion and ETL/ELT pipelines.Manage large datasets and interfaces that feed into enterprise-level databases.Examine data flows and diagnose inconsistencies across systems.Conduct root cause analyses to trace erroneous outputs back to original source systems.Prepare datasets for analytics and machine learning applications.Participate in data modeling and mapping activities.Assist machine learning initiatives through data preparation, evaluation, and optimization.Establish and implement data quality monitoring frameworks.Create visualizations to facilitate data interpretation and insights.

Join Kpler as a Senior BI Data Engineer and be a pivotal force in shaping our data architecture. In this vital role within our Business Intelligence & Insights team, you will develop scalable data pipelines, create robust data models, and establish reliable infrastructure that empowers teams across the organization with access to high-quality, accurate data. This position is ideal for someone who thrives in a fast-paced, international environment and enjoys addressing complex data challenges while designing systems that drive insights, reporting, and machine learning at scale. You will report directly to the Director of BI, collaborating closely with cross-functional teams to enhance data-driven decision-making across the company.

Bosch Group seeks a Data Engineering Intern based in Budapest. This internship provides practical experience in data management, analytics, and the development of data pipelines. What you will do Support the team in managing and organizing data Assist with analytics tasks and reporting Help build and maintain data pipelines for ongoing projects Work closely with experienced data engineers on real-world assignments Requirements Interest in data engineering and analytics Willingness to learn new data technologies Ability to collaborate with team members Based in Budapest or able to work from this location

Join our dynamic team as a Senior Data Engineer where you will play a pivotal role in shaping our data architecture and driving innovative solutions. You will be responsible for designing, building, and maintaining robust data pipelines that ensure our data is accessible, reliable, and ready for analysis. Your expertise will directly contribute to enhancing our data-driven decision-making processes.

Role Overview Betsson Group is hiring a Lead Data DevOps Engineer to guide the Data DevOps team in Budapest. This position focuses on team leadership, technical direction, and ensuring smooth data operations within an agile setup. Key Responsibilities Lead and mentor a team of Data DevOps professionals. Work closely with cross-functional teams to align data operations with business needs. Shape and improve data architecture and data pipelines. Implement and promote strong data management and DevOps practices. Streamline workflows to deliver insights that support company goals. Location This role is based in Budapest.

Join our team as a Senior Data Engineer, where you will play a pivotal role in building and managing scalable data ingestion and Change Data Capture (CDC) capabilities on our Azure-based Lakehouse platform. Your expertise will drive our engineering maturity as we deliver ingestion and CDC preparation through Python projects and reusable frameworks. We are seeking a professional who applies best software engineering practices, including clean architecture, rigorous testing, code reviews, effective packaging, CI/CD, and operational excellence.Our platform emphasizes batch-first processing, allowing for the landing of streaming sources in their raw form while processing them in batch. We are selective in our evolution towards streaming as necessary.As part of the Common Data Intelligence Hub, you will collaborate closely with data architects, analytics engineers, and solution designers to create robust data products and ensure governed data flows across the enterprise.Your team is responsible for end-to-end ingestion and CDC engineering, including design, build, operation, observability, reliability, and reusable components.You will contribute to the development of platform standards, including contracts, layer semantics, and readiness criteria.While you will not primarily manage cloud infrastructure provisioning, you will work with the platform team to define requirements, review changes, and maintain deployable code for pipelines and jobs.Platform Data Engineering & DeliveryDesign and develop ingestion pipelines utilizing Azure and Databricks services, including Azure Data Factory pipelines and Databricks notebooks/jobs/workflows.Implement and manage CDC patterns for inserts, updates, and deletes, accommodating late arriving data and reprocessing strategies.Structure and maintain bronze and silver Delta Lake datasets, focusing on schema enforcement, de-duplication, and performance tuning.Create “transformation-ready” datasets and interfaces with stable schemas, contracts, and metadata expectations for analytics engineers and downstream modeling.Adopt a batch-first approach for data ingestion, ensuring raw landing, replayability, and idempotent batch processing while progressing towards true streaming as required.Software Engineering for Data FrameworksDevelop and maintain Python-based ingestion and CDC components as production-grade software, focusing on modules, packaging, versioning, and releases.Implement engineering best practices such as code reviews, unit/integration tests, static analysis, formatting/linting, type hints, and comprehensive documentation.Establish and enhance CI/CD pipelines for data engineering code and pipeline assets, covering build, testing, security checks, deployment, and rollback patterns.

Join a global leader in technology dedicated to energy innovation for a sustainable future. Our client is at the forefront of transforming energy solutions with advanced gas engine technologies, digital platforms, and energy services. With operations in over 100 countries, they focus on advancing engineering while prioritizing the well-being of people and the planet.The Senior Data Engineer plays a crucial role in collaboration with Data Analysts, BI Developers, and Requirements Engineers to lay the groundwork for all analytical projects. This position entails building and managing data pipelines that extract, transform, and load (ETL) data from various sources into a centralized repository, subsequently facilitating project-specific data delivery.Your Responsibilities: Architect and deploy scalable and resilient data pipelines that meet the analytics and data processing requirements. Design and maintain robust database architectures, including data lakes and warehouses. Ensure data integrity and consistency through meticulous data cleaning, transformation, and validation processes. Engage with Data Analysts, BI Developers, and Requirements Engineers to gather project requirements and provide data solutions aligned with business goals. Enhance data retrieval processes by developing pipelines and physical data models tailored for reports and various analytical projects. Implement data security and privacy protocols to ensure compliance with legal and regulatory standards. Document all created data pipelines comprehensively.

Join our dynamic team at Deutsche Telekom IT Solutions as a Data Engineer specializing in Fabric. In this role, you will be pivotal in designing and implementing robust data solutions that drive business insights and support our operations across various platforms. Your expertise in data engineering will help shape the future of our data infrastructure.

Join our team at BDA_CDI HUB, where we deliver comprehensive IT solutions for T-Systems that encompass data management, analytics, visualization, and process automation.Our expertise covers everything from user-friendly analytics platforms to enterprise-level data warehouse and analytics solutions. We are dedicated to driving data-driven initiatives and implementing advanced analytics through cloud services, transforming our traditional data warehouse architecture into a centralized T-Systems Lakehouse framework to optimize performance and efficiency.Our work environment is dynamic, innovative, and focused on continuous learning and professional development.As a Senior Developer in Data Analytics & Data Engineering, your responsibilities will include:Designing IT platforms, processes, and structural frameworks for our evolving Lakehouse on Azure, using cutting-edge technologies such as Databricks, Data Factory, Data Lake Storage, Event Hub, and more.Developing sustainable architectures, prototyping solutions, and assessing new technologies to foster innovation.Supporting engineering teams in platform architecture development and mentoring them towards independent solution design.Ensuring the protection and security of business-critical and personal data.Collaborating with the team to improve platform architecture, establishing principles, patterns, and best practices.

Join our dynamic team as a Senior Data Engineer specializing in the Power Platform at Deutsche Telekom IT Solutions in Budapest. In this pivotal role within our international Common Data Intelligence Hub, you will enhance our Cloud Data & Analytics Platform by serving as the crucial link between Self-Service BI teams and the Azure Lakehouse backend.Our Cloud Data & Analytics Platform integrates Azure Lakehouse technologies (Data Factory, Databricks, dbt, CDC Framework) with Microsoft Power Platform services (Power BI, Power Apps, Power Automate, SharePoint Online). This innovative platform empowers business units to develop and manage their own analytics and reporting solutions while adhering to enterprise-level security, governance, and data management protocols.As a Senior Data Engineer, you will ensure that self-service solutions operate efficiently, securely, and reliably in accordance with established standards. You will provide guidance and support to business and data teams, helping them navigate the technical framework, governance principles, and best practices for sustainable analytics solutions. Collaboration with platform engineers will be key to maintaining operational alignment between the Power Platform frontend and the Lakehouse backend.Platform Operations & Maintenance:Ensure the reliable operation and performance optimization of Power Platform components (Power BI Service, Power Apps, Power Automate, SharePoint Online) within the Cloud Data & Analytics Platform.Monitor platform usage and performance to guarantee optimal resource allocation and cost efficiency.Manage Power BI gateways and secure data connections to the Azure Lakehouse backend (ADF, Databricks, dbt, CDC Framework).Oversee role-based access control (RBAC) and workspace permissions in line with corporate governance and Azure security principles.Optimize data refresh and load processes to maintain the freshness and stability of analytical datasets.Work closely with platform engineering teams to address incidents, coordinate upgrades, and implement technical improvements across both frontend and backend layers.Create standardized operational dashboards and reports to enhance transparency regarding platform usage, capacity, and performance metrics.Governance & Best Practices:Consult and coach Self-Service BI teams on effectively utilizing Power BI, Power Apps, and Power Automate within the governance framework.Guide new teams through onboarding and compliance processes, ensuring proper workspace configuration.

Join Kpler as a Revenue Operations Analyst and play a pivotal role in driving our revenue growth strategies. In this dynamic position, you will analyze data, streamline processes, and collaborate across teams to optimize our sales operations. We are looking for a detail-oriented professional who thrives in a fast-paced environment and is passionate about leveraging data to enhance business performance.

Role overview Qima seeks a Senior Manager, Data & Web Engineering to join their Budapest office. This leadership position manages a team of data engineers and web developers, focusing on the creation and improvement of data solutions and web applications. The role shapes data frameworks and helps ensure web platforms run smoothly, offering a dependable and user-friendly experience. What you will do Lead and mentor a group of data engineers and web developers Oversee development and refinement of data frameworks Maintain high standards for web platform performance and usability Collaborate with cross-functional teams to apply best practices in data management and web engineering Guide the team through complex technical issues Deliver projects on time and within budget Encourage continuous learning and foster innovation within the team Requirements Demonstrated experience leading teams in data engineering and web development Strong knowledge of data frameworks and web application performance Ability to work effectively across departments Track record of mentoring and developing technical staff Comfort managing several projects and shifting priorities This position is located in Budapest.

Qualysoft Group, established in 1999 in Vienna, is a leading independent IT consulting and services provider, dedicated to enhancing the competitiveness and economic efficiency of its international clientele through innovative IT solutions. Our expertise spans various sectors, including financial services, telecommunications, automotive, and energy services. With a workforce of over 400 professionals across six subsidiaries, we collaborate to deliver state-of-the-art solutions tailored to our clients' needs. We invite enthusiastic individuals to join our Qualysoft teams, where diverse projects offer continuous learning and professional growth. Our collective aim is to foster an environment of integrity, development, and stability, while staying abreast of the latest technologies. We eagerly await your application for the role outlined below!We are in search of a seasoned IT Manager who will also take on the responsibilities of a Data Protection Officer (DPO). This pivotal role encompasses overseeing the organization's IT operations, leading technical teams, ensuring efficient incident and ticket management, as well as maintaining compliance with data protection regulations. The ideal candidate will possess robust leadership capabilities, hands-on technical expertise, and a thorough understanding of audit processes and data privacy.

Bosch Group is hiring a Data Scientist and AI Engineer in Budapest. This position centers on applying data analytics and artificial intelligence to improve products and processes. Role overview Work closely with colleagues from different disciplines to design and build machine learning models. The focus is on creating solutions that add value to Bosch Group’s offerings. What you will do Develop and implement machine learning models Use data analytics to identify opportunities for improvement Collaborate with cross-functional teams to integrate AI-driven solutions Requirements Experience in data science and artificial intelligence Ability to work with teams from various backgrounds Strong skills in building and deploying machine learning models

Join Our Team as an Operational Lead for Hardware and Virtualization Platforms!Location: Budapest, XIII. District | Hybrid work model: 2–3 days remote per weekWe are seeking a skilled professional to join the data center team of a stable, large-scale financial enterprise. This role is not only about managing infrastructure but also about leading a team to achieve operational excellence.Your Responsibilities:Professional oversight of hardware and virtualization environment operations in the data centerSupport daily operations and mentor your teamCoordinate operational and development requirementsManage capacity and lifecycle effectivelyDefine directions for infrastructure developmentSupport audits, policies, and operational processesCoordinate procurement and vendor managementRequirementsWhat We Are Looking For:Over 5 years of experience in infrastructure and operations2-3+ years in a managerial or lead roleStrong background in data center operations and virtualizationStrategic thinker with a hands-on approachFluent English (for documentation purposes)Preferred Qualifications:Experience with ITIL practicesExperience in large corporate or financial environmentsWide-ranging insights into various manufacturers and technologies