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數據工程師
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Data Engineering Technical Lead
Technical lead shaping Vanguard Europe's data and analytics platforms: designing and building scalable data pipelines and lakehouse products on Databricks, PySpark, SQL, and AWS (Glue, Lambda), with Delta Lake/Unity Catalog governance and Terraform CI/CD, while mentoring data engineers and driving engineering standards.
Principal Data Engineer (Databricks)
Principal Data Engineer at Vivanti Consulting, a global data/AI/cloud consultancy in London. You define and build scalable Lakehouse data platforms for clients using Databricks, Spark, Delta Lake and Python/SQL, lead technical strategy while staying hands-on with code, and mentor senior data engineers.
Data Engineer (h/f)
Emagine Consulting is hiring two Senior Databricks Data Engineers in London to design, build, and scale a modern Lakehouse platform for financial services clients: Medallion-architecture Databricks pipelines with Delta Lake, orchestration via Airflow, dbt modelling, PySpark optimization, Unity Catalog governance, and multi-cloud (AWS, Azure, GCP) delivery.
Senior Data Engineer
Fully remote 2-month contract (outside IR35, up to £600/day) migrating an Azure Synapse Dedicated SQL Pool codebase — about 72 T-SQL stored procedures — into Databricks for a client's insurance/claims data platform. The consultant refactors T-SQL to Spark SQL/PySpark, optimises pipeline performance, and reconciles data for downstream consumption.
Senior Data Engineer
Six-month hybrid contract in London (inside IR35, £600-£660/day) for a Senior Data Engineer to build scalable Databricks/Delta Live Tables pipelines and real-time streaming analytics, ingesting SAP and ETRM data via ADF and Qlik Replicate for an energy/trading program.
Data Engineer
Data Engineer at Nottingham Building Society helping build a brand-new enterprise data platform on Microsoft Fabric and Azure — designing ingestion/transformation pipelines, lakehouse and warehouse architectures, CI/CD, and data governance to support analytics and regulatory reporting. Core stack: Microsoft Fabric, Azure, Power BI, SQL, Python/PySpark.
Data Engineer
Data Engineer building a brand-new enterprise data platform from scratch on Microsoft Fabric and Azure: designing ingestion/transformation pipelines, Lakehouse/Delta Lake (medallion) architectures, semantic models for BI and regulatory reporting, plus CI/CD and governance. Core stack: Microsoft Fabric, Azure, Power BI, SQL, Python/PySpark, Azure DevOps.
Software Engineer (Python/AWS)
Early-career-friendly engineer role on Zema Global's Data Surface team, building and maintaining the company's AWS Lakehouse: data ingestion pipelines (DynamoDB/Oracle to Apache Iceberg), Bronze-Silver-Gold Spark transformations, batch/streaming workflows, and data-access APIs. Core stack: Python and/or Java/Scala, AWS (S3, EKS, Lambda, Glue), Spark, SQL. Hybrid London role (8 office days/month),
Senior Data Engineer – Databricks | Azure | Data Engineering
Senior Data Engineer building cloud data platforms for enterprise customers: translating business requirements into scalable designs, and building batch/streaming ETL/ELT ingestion pipelines on Databricks and Azure, with CI/CD, performance tuning, and mentoring. Core stack: Databricks, Apache Spark, Scala, Azure Data Factory, SQL Server.
Data engineer
Data engineer in Barcelona designing, building, and optimising scalable ETL/ELT pipelines and lakehouse data platforms on Databricks, Apache Spark, PySpark, SQL, and Delta Lake, integrating multi-source data and improving performance, governance, and reliability.
Senior Software Engineer
Senior Software Engineer (Data) at a global proprietary trading firm (via Intec Select) in Chicago, NYC or London (hybrid). The engineer builds low-latency, high-throughput data platforms and batch/streaming pipelines for options, delta-one and FICC trading data, using Python/Java/C++, Kafka, Airflow/Dagster and lakehouse formats.
Data Engineering Specialist (Bris, Syd, Mel)
Designs, builds and optimises CareSuper's enterprise cloud data platform on Azure Databricks — data ingestion, transformation and orchestration pipelines, Delta Lake, Azure services and Power BI — enabling analytics and reporting across the super fund. Open to candidates in Melbourne, Sydney or Brisbane; hybrid work.
Senior Data Engineer: Real-Time Pipelines on Databricks
Senior Data Engineer at Showtime Consulting in Sydney, embedded in a large-scale enterprise data environment. Day to day you design, build and optimise high-throughput and real-time ETL/ELT pipelines using Azure Databricks, Spark (Scala), SQL, Python, and Delta Lake Medallion Architecture.
Senior Data Engineer: Secure Cloud Data Pipelines
Senior Data Engineer designing, building, and optimising high-throughput cloud data pipelines with Azure Databricks, Spark (Scala), SQL, and Python. Delivers scalable ETL/ELT using Medallion Architecture and Delta Lake best practices in a large-scale enterprise data environment, collaborating with data, engineering, and delivery stakeholders.
Sr. Data Engineer
Senior Data Engineer in Sydney building and optimising high-throughput ETL/ELT pipelines in a large enterprise data environment, using Azure Databricks, Spark (Scala), SQL and Python, with Medallion Architecture and Delta Lake, real-time streaming via Kafka, and CI/CD with Git and Azure DevOps.
Sr. Data Engineer
Senior Data Engineer building and optimising high-throughput ETL/ELT pipelines for a large enterprise data environment in Sydney, using Azure Databricks, Spark (Scala), SQL and Python, with real-time streaming (Kafka, Spark Streaming), Medallion Architecture/Delta Lake, and CI/CD-driven operations across Azure and AWS.
DATA ENGINEER - AZURE DATABRICKS & PYSPARK
Data engineer for a leading Dubai-based client, designing and running scalable ETL/ELT pipelines and Azure/Databricks data warehouse and lakehouse solutions. Day to day: Python/PySpark and SQL transformations, workflow orchestration (Data Factory, Airflow), plus data quality and governance. On-site role via consultancy Duncan & Ross.
Senior Data Engineer
Senior Data Engineer in Dubai who leads the design, build, and optimization of batch and real-time data pipelines, owning data modeling, ingestion, and lakehouse platform reliability while mentoring the team. Core stack: dbt, Airflow, Spark/PySpark, Dremio/Iceberg on S3, Python, advanced SQL, and hands-on NoSQL stores.