26 to 38 of 38 Remote Delta Lake Jobs

candidate combines solid DWH development experience with SAS, SQL, and ETL frameworks, and is motivated to evolve toward modern data engineering practices (e.g., Databricks, Delta Lake, PySpark, CI/CD). This is a unique opportunity to help shape the next-generation data platform for one of Europe

STEM A strong team player with empathy, humility and dedication to joint success and shared development. Desirable Experience and Qualifications: Experience with Databricks or Delta Lake architecture. Experience building architecture and Data Warehousing within the Microsoft Stack Experience in development Source control (e.g. Bit Bucket, Github) Experience

Python or Scala. Hands-on use of cloud data stacks (e.g. SageMaker Notebooks, S3, Glue, Athena) and modern storage formats or frameworks (e.g. Parquet, Delta Lake, Fabric). Experience with DevOps/DataOps tooling and practices (e.g. Terraform) and testing data pipelines, including end-to-end, data quality

optimise Data engineering solutions. Key requirements: Proven experience as a Data Engineer with Active Security Clearance (SC) Strong experience with Databricks, PySpark and Delta Lake Expertise in Jobs & Workflows, cluster tuning, and performance optimisation Solid understanding of Data governance (Unity Catalog, Lineage, Access Policies) Hands-on with Azure … services: Data Lake Storage (Gen2), Key Vault, Azure Functions Familiarity with CI/CD for Databricks deployments Strong troubleshooting in distributed Data environments Excellent communication and collaboration skills Nice to have: Immediate availability Experience with enterprise-scale Databricks environments Knowledge of Azure Synapse, Power BI and cost optimisation strategies

optimise Data engineering solutions. Key requirements: Proven experience as a Data Engineer with Active Security Clearance (SC) Strong experience with Databricks, PySpark and Delta Lake Expertise in Jobs & Workflows, cluster tuning, and performance optimisation Solid understanding of Data governance (Unity Catalog, Lineage, Access Policies) Hands-on with Azure … services: Data Lake Storage (Gen2), Key Vault, Azure Functions Familiarity with CI/CD for Databricks deployments Strong troubleshooting in distributed Data environments Excellent communication and collaboration skills Nice to have: Immediate availability Experience with enterprise-scale Databricks environments Knowledge of Azure Synapse, Power BI and cost optimisation strategies

includes several high profile household name What you'll bring: Strong Python & TDD skills Expertise in modern data architecture (dimensional modelling, data mesh, data lake) & best practices (agile, CI/CD, IaC, observability). Experience with Cloud and big data technologies (e.g. Spark/Databricks/Delta Lake/BigQuery). Familiarity with eventing technologies (e.g. Event Hubs/Kafka) and file formats such as Parquet/Delta/Iceberg. Want to learn more? Get in touch for an informal chat.

team, contributing directly to strategic data initiatives. Candidate Profile: The ideal candidate will have: Significant experience in Data Engineering , particularly with Azure, Databricks, and Delta Lake . Proficiency in Kubernetes, Infrastructure as Code, and Terraform . Strong understanding of Azure DevOps and software engineering best practices. A passion

kick out of making complex data architectures simple and elegant Be able to explain technical decisions to non-technical humans Bonus points: Experience with Delta Lake/Iceberg, real-time streaming, or LLM orchestration What's on offer: Work on genuinely interesting problems (behavioural + financial data = never

stakeholder expectations, navigate complex requirements, and deliver tailored solutions across diverse industries. 7 years' experience working with Databricks. Good hands on experience with Spark, Delta Lake, and Unity Catalog Strong understanding of cloud platforms like Azure, AWS and/or Google Cloud Experience designing data lakes, lakehouses

modular, test-driven design Experience with Behave for unit and BDD testing (mocking, patching) Proficiency in PySpark and distributed Data processing Solid understanding of Delta Lake (design and maintenance) Hands-on with Docker for development and deployment Familiarity with Azure services: Functions, Key Vault, Blob Storage Ability

modular, test-driven design Experience with Behave for unit and BDD testing (mocking, patching) Proficiency in PySpark and distributed Data processing Solid understanding of Delta Lake (design and maintenance) Hands-on with Docker for development and deployment Familiarity with Azure services: Functions, Key Vault, Blob Storage Ability

particularly Databricks SQL . Demonstrable experience designing data models (e.g., star schema) and scalable architecture. Knowledge of Azure Modern Data Warehouse tools: Synapse, Databricks, Delta Lake, Unity Catalog. Experience with pipeline orchestration (e.g., Synapse pipelines). Proven background in ITIL change management and incident management . Implementing data

goals. What you’ll bring... Strong understanding of Python, Azure, Databricks and SQL. Experience in building and optimising ETL or ELT pipelines. Knowledge of Delta Lake and Spark for data processing and performance tuning. The ability to adapt quickly, as you’ll be working across multiple client projects