21 of 21 Permanent Delta Lake Jobs in the UK excluding London

maintain Databricks pipelines (batch and incremental) using PySpark and SQL. Orchestrate end-to-end workflows with Azure Data Factory . Develop and optimise Delta Lake tables (partitioning, schema evolution, vacuuming). Implement Medallion Architecture (Bronze, Silver, Gold) for transforming raw data into business-ready datasets. Apply robust monitoring … development skills for large-scale data engineering. Proven experience with Databricks pipelines and workflow management. Expertise in Azure Data Factory orchestration. Solid knowledge of Delta Lake and Lakehouse principles. Hands-on experience with SQL for data transformation. Familiarity with Azure services (ADLS/Blob, Key Vault, SQL).

Data Engineer/Data Engineering/Data Consultant/Lakehouse/Delta Lake/Data Warehousing/ETL/Azure/Azure Databricks/Python/SQL/Based in the West Midlands/Solihull/Birmingham area, Permanent role, £50,000 - 70,000 + car/allowance … allowance + bonus Experience: Experience in a Data Engineer/Data Engineering role Large and complex datasets Azure, Azure Databricks Microsoft SQL Server Lakehouse, Delta Lake Data Warehousing ETL Database Design Python/PySpark Azure Blob Storage Azure Data Factory Desirable: Exposure ML/Machine Learning/

one. What You'll Be Doing Designing end-to-end Microsoft Fabric architectures using the Medallion pattern. Building metadata-driven ingestion pipelines and optimising Delta Lake performance. Writing advanced PySpark/Spark SQL notebooks for large-scale transformations. Developing semantic models for enterprise reporting and enabling Direct Lake. … impact projects with cutting-edge Microsoft technologies. What We're Looking For Hands-on experience with Microsoft Fabric workloads: Lakehouse, Data Factory, Pipelines, Notebooks, Delta Lake, Eventstreams, Semantic Models. Advanced PySpark/Spark SQL skills and strong data engineering fundamentals. Integration experience with Dynamics 365, Dataverse, Business Central.

one. What You'll Be Doing Designing end-to-end Microsoft Fabric architectures using the Medallion pattern. Building metadata-driven ingestion pipelines and optimising Delta Lake performance. Writing advanced PySpark/Spark SQL notebooks for large-scale transformations. Developing semantic models for enterprise reporting and enabling Direct Lake. … impact projects with cutting-edge Microsoft technologies. What We're Looking For Hands-on experience with Microsoft Fabric workloads: Lakehouse, Data Factory, Pipelines, Notebooks, Delta Lake, Eventstreams, Semantic Models. Advanced PySpark/Spark SQL skills and strong data engineering fundamentals. Integration experience with Dynamics 365, Dataverse, Business Central.

Apache Spark (PySpark or Scala) and Structured Streaming . Experience working with Kafka (MSK) and handling real-time data . Good knowledge of Delta Lake/Delta Live Tables and the Medallion architecture . Hands-on experience with AWS services such as S3, Glue, Lambda, Batch

challenges and building scalable solutions, this is your chance to make an impact. What You'll Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards ETL & Data Modelling: T-SQL, metadata-driven pipelines DevOps: CI/CD Bonus

with cutting-edge technology and stay at the forefront of the data engineering field. You'll Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards and analytics ETL & Data Modelling: T-SQL, metadata-driven pipelines Design and implement

latest technology, ensuring you can be at the forefront of your field. What You'll Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards ETL & Data Modelling: T-SQL, metadata-driven pipelines What you'll do Design

schema, Data Vault) supporting analytics and BI Define data strategy and governance frameworks – lineage, cataloging, security, compliance Lead solution design for data warehouse, data lake, and lakehouse implementations Architect real-time and batch data integration patterns across hybrid environments Technical Leadership: Lead technical workstreams on large transformation and migration … Snowflake Cloud Data Platform - Architecture design, performance tuning, cost optimization, governance Azure Data Factory - Pipeline architecture, orchestration patterns, best practices Azure Databricks - Lakehouse architecture, Delta Lake, Unity Catalog, medallion layers SQL & Python - Strong technical foundation for hands-on guidance and code reviews DataOps & CI/

production workloads on Azure + Databricks . Strong PySpark/Spark SQL and distributed data processing expertise. Proven Medallion/Lakehouse delivery experience using Delta Lake . Solid dimensional modelling (Kimball) including surrogate keys, SCD types 1/2, and merge strategies. Operational experience-SLAs, observability, idempotent pipelines … watermarking) Subscription/entitlement modelling experience Advanced Unity Catalog security (RLS, ABAC, PII governance) Terraform/Bicep for IaC Fabric Semantic Model/Direct Lake optimisation

production workloads on Azure + Databricks . Strong PySpark/Spark SQL and distributed data processing expertise. Proven Medallion/Lakehouse delivery experience using Delta Lake . Solid dimensional modelling (Kimball) including surrogate keys, SCD types 1/2, and merge strategies. Operational experience-SLAs, observability, idempotent pipelines … watermarking) Subscription/entitlement modelling experience Advanced Unity Catalog security (RLS, ABAC, PII governance) Terraform/Bicep for IaC Fabric Semantic Model/Direct Lake optimisation

closely with stakeholders to translate operational and strategic needs into clear data solutions. Promote modern engineering standards including Git, CI/CD, IaC, and Delta Lake. Ensure robust handling of complex and sensitive datasets from varied sources. About You You will have extensive hands-on experience in data engineering

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

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

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

intuition-clean layouts, drill paths, and KPI logic. Nice to Have Python for automation or ad-hoc prep; PySpark familiarity. Understanding of Lakehouse patterns, Delta Lake, metadata-driven pipelines. Unity Catalog/Purview experience for lineage and governance. RLS/OLS implementation experience.

intuition-clean layouts, drill paths, and KPI logic. Nice to Have Python for automation or ad-hoc prep; PySpark familiarity. Understanding of Lakehouse patterns, Delta Lake, metadata-driven pipelines. Unity Catalog/Purview experience for lineage and governance. RLS/OLS implementation experience.

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