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Senior Data Engineer at Leadtech building and operating pipelines that ingest marketing, payments, and product data into Databricks, orchestrating jobs in Airflow, and keeping silver/gold tables accurate for daily reporting, attribution, and LTV. Core stack: Python, SQL, Spark, Databricks, Airflow, and GCP.
Senior data engineering consultant in Jakala's Data Management team, leading data quality, governance, integration, and analytics projects for high-profile clients. Day-to-day work centers on BigQuery optimization, data modeling, and building robust solutions with Python, SQL, and cloud platforms like GCP, Azure, or AWS.
A senior Data Engineer/Architect at TCS in Madrid (hybrid, Sanchinarro) designs Data-as-a-Service architectures and high-availability operational data platforms for banking clients, working with event-driven and real-time pipelines, cloud data engineering (AWS preferred), and data governance frameworks.
Builds, operates, and optimizes a modern Azure-based data platform in Barcelona — designing pipelines with Azure Data Factory, ADLS Gen2, Databricks, and Synapse, writing PySpark/Spark ETL jobs, and automating deployments via CI/CD across multi-tenant environments.
Senior Data Engineer responsible for ingesting marketing, payment, and product data into Databricks. You will orchestrate Airflow jobs, manage silver/gold table accuracy, and collaborate with cross-functional teams to align data with business goals.
Senior Data Engineer builds and maintains ETL/ELT pipelines and data warehouse infrastructure for a B2B diamond marketplace, using Python, PySpark, Snowflake, Redshift, and AWS tools.
Fully remote Senior Data Engineer supporting an enterprise customer profile platform: designing, building, and optimizing data solutions, pipelines, and integrations using AWS, Snowflake, Oracle, and event-driven tools like Kafka, with Java/Python programming.
Senior Data Engineer (B2B contractor, fully remote) for a Polish data services company: you build cloud data platform migrations, modern data warehouses, and optimized ETL/ELT pipelines on GCP, AWS, Azure, Snowflake and dbt, forming the foundation for clients' BI and AI/ML systems, with ~160-180 guaranteed hours/month.
Senior Data Engineer building and maintaining data pipelines and infrastructure on AWS for a major automotive manufacturer, within a multinational German-Polish team. Daily work centers on Python and SQL, AWS data services (S3, Glue, Athena), PySpark, Terraform and Docker, with occasional visits to the Katowice or Gdańsk office.
Senior data engineer at EY Global Delivery Services in Wrocław, building data platforms and modern warehousing solutions (BigQuery) on Google Cloud for international client projects. Core stack is GCP, BigQuery, SQL and Python, with Agile/DevOps delivery practices.
hubQuest, an IT and analytics hub provider, is hiring a Senior Data Engineer to work on a client's strategic data initiatives: migrating data platforms to Databricks, building a reusable Data Foundation, and creating an AI/RAG-powered conversational data discovery tool. The work is highly hands-on with Python, PySpark, and SQL on Azure Databricks.
Senior Data Engineer focused on backend development for investment and AI-driven applications. Responsibilities include building batch/streaming data pipelines, implementing GenAI/LLM solutions, and developing microservices using Java, Python, or Go within a cloud environment.
Remote senior contract Data Engineer (W2) for a financial-services client's Identity and Access Management initiative: building low-latency GraphQL APIs, PySpark/Snowflake/AWS Glue data pipelines, and AWS microservices with production monitoring. Small team, Eastern Time hours, $80–90/hr, possible conversion.
Senior manager and hands-on technical delivery lead at Charles Schwab, owning the Contact Center operational data platforms: leading an Oracle-to-GCP migration, building Java/Spring and Kafka batch/streaming pipelines on GCP services, enforcing engineering best practices, and managing and coaching onshore/offshore engineering teams.
Senior Data Engineer who will migrate a 15-year-old data warehouse to a governed Databricks Lakehouse, building batch and streaming pipelines with PySpark and Delta Lake using a medallion architecture. The role involves clean Python/SQL development, data governance, and using AI tools like Claude and GitHub Copilot to speed up work.
Senior Data Engineer role to modernize a 15-year-old legacy data warehouse into a governed Databricks Lakehouse, building batch and streaming pipelines with PySpark and Delta Lake across bronze/silver/gold medallion layers. Involves migrating legacy workloads, ensuring data parity, and collaborating with DevOps and analytics teams; remote with flexible hours.
Senior Data Engineer modernizing a data warehouse into a governed Databricks Lakehouse: building batch and streaming pipelines with PySpark and Delta Lake in a medallion (bronze/silver/gold) architecture, while leveraging AI tools like Claude and GitHub Copilot to speed up development, tests, and documentation.
Senior Data Engineer modernizing a 15-year-old legacy data warehouse into a governed Databricks Lakehouse. Day to day you build batch and streaming pipelines with PySpark and Delta Lake using a medallion architecture, migrate legacy workloads with data parity, and leverage AI tools like Claude and GitHub Copilot in an Agile, cross-team environment.
AgileEngine is hiring a Senior Data Engineer to modernize a 15-year data warehouse into a governed Databricks Lakehouse, designing batch and streaming pipelines with PySpark and Delta Lake using a medallion architecture, while using AI tools like Claude and GitHub Copilot to speed up development.
Senior engineer who designs scalable data processing systems with Spark and AWS EMR, building batch and distributed pipelines and partnering with AI and product teams to operationalize model-enabled use cases, with a focus on data quality, governance, and security in a remote, flexible-hours role.
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