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An intern role on L3Harris's Enterprise Data and AI team in Canoga Park, CA, working as a data engineer. Day to day involves managing ETL/ELT data pipelines, enforcing data standards, maintaining data frameworks, and performing data cleansing and consolidation.
Pre-sales engineer acting as the main technical interface between TD SYNNEX, partners and customers: running discovery, designing data/AI solution architectures, delivering demos and POCs, and supporting RFI/RFP, TCO/ROI and deal-close work around data, analytics and GenAI platforms such as IBM watsonx and Db2.
Build and maintain ETL pipelines in Airflow, design distributed data storage systems, and automate analytics infrastructure for a leading Russian/CIS streaming platform.
Designs, builds, and maintains batch and real-time data pipelines for a banking-sector client, integrating financial and transactional data while ensuring quality, security, and regulatory compliance. Core stack: SQL, Python, Spark, Airflow, Teradata, data lakes/warehouses, and AWS/Azure/GCP.
The Data Engineer will improve data quality and reliability on the enterprise data platform by building observability, automated validation, and managing SLAs/SLOs, primarily using Azure, SQL, Python and related cloud tools.
Senior Data Engineer at Tech4's Oxford head office, building and maintaining a cloud-based Azure data platform: designing ETL/ELT pipelines, data warehouses, and BI reporting using Azure Data Factory, Synapse, Microsoft Fabric, SQL, Python, C#, and Power BI. Hybrid pattern: three days in Oxford, two remote.
Data Engineer building a modern Azure-based data platform for a UK specialist care provider, owning end-to-end ETL/ELT pipelines, scalable data models, and pipeline optimisation to support reporting, analytics, and future AI initiatives. Core stack: Azure data engineering tools, SQL, CI/CD. Up to £60,000, Birmingham hybrid (2 days a month).
Data Engineer with 1-2 years' experience building and maintaining ETL/ELT pipelines, warehouse solutions and dimensional models on a Microsoft Azure, Snowflake and Fabric platform for a purpose-driven organisation. Based in Liverpool (hybrid, 1 office day per week), salary up to £45,000 plus benefits.
Senior QA Engineer to drive automation strategy, ensuring high product quality. Core technologies: Java, BDD, TDD, Playwright, TypeScript, REST APIs, React.
Data Engineer who designs, builds, and maintains data pipelines and ETL/ELT workflows on AWS, writing SQL and Python to extract, transform, and validate data across systems. Core stack includes AWS S3, Redshift, Glue, IAM, and CloudWatch, with a focus on data quality, security, and troubleshooting.
The Analytics Engineer will design, build, and maintain data pipelines and observability tooling on Emma’s AWS‑based lakehouse, using SQL, Python, dbt, Airflow, and IaC, while documenting standards and supporting AI‑augmented workflows.
Big Data Engineer at HCLTech (Bangalore/Chennai) building and optimizing large-scale data pipelines and ETL/ELT workflows using Python, PySpark, SQL, Apache Airflow, Kubernetes, S3-compatible object storage, and table formats like Iceberg/Delta Lake/Hudi. Targets candidates with 6-10 years of experience in Agile teams.
The Data and Analytics Engineer III builds and maintains scalable ETL/ELT pipelines, creates analytical dashboards, and writes production‑grade Python, R, and SQL code, collaborating with data scientists and leveraging Databricks, Snowflake/AWS/Azure and AI‑driven tools to support clinical and operational decision‑making.
Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide…
Data engineer at Alfa-Bank building and maintaining ETL/ELT pipelines and analytical data marts for SME credit-risk reporting, integrating sources from DWH, operational databases, files and APIs. Core stack: SQL, Python, Spark, Airflow-class orchestration, analytical DBMS (Greenplum/ClickHouse/etc.) and Power BI/Tableau dashboards.
Lead data warehouse developer at a sports betting company: builds and designs the corporate DWH on Greenplum, develops and maintains streaming pipelines (Kafka/RabbitMQ → RisingWave/Apache Flink) orchestrated with Airflow, using Python and PL/pgSQL. Hybrid, remote, or office in Moscow.
Data Engineer in C&D Foods' Group IT team (Head Office in Mullingar, Ireland or Manchester, UK) building and maintaining data pipelines, SQL data warehouse and dimensional models, semantic models, Power BI dashboards, and Power Automate workflows for a large pet food manufacturer, with heavy focus on data preparation, cleansing, and data quality across cloud, on-premise, and hybrid Microsoft-centr
Senior engineer driving AI/ML adoption across Gresham's financial data automation products: designing and deploying LLM-powered apps, RAG/semantic search, and AI agents, plus building scalable AI services on enterprise data platforms. Core stack: Python, LangChain/LlamaIndex, MCP, AWS, Databricks/Spark.
Infineon is hiring a Data Engineering & AI Specialist to build data pipelines, AI/ML models, and Power BI dashboards that improve product quality and manufacturing performance. Day to day the role spans Python/SQL data engineering, cloud analytics (Azure/AWS/GCP), machine learning deployment, and stakeholder-facing reporting within the Quality organisation.
Data Engineer at Asian Pac Holdings in Kuala Lumpur, splitting time ~70% on data infrastructure (Airflow-orchestrated pipelines, Azure/AWS cloud, data lake/warehouse) and ~30% on applied AI (LangChain/CrewAI agents, RAG pipelines) supporting property-development analytics.
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