20 of 20 Delta Lake Jobs in the UK

pipelines within a Databricks Lakehouse environment. You'll work with both streaming and batch data pipelines using technologies such as Apache Spark Structured Streaming, Delta Live Tables, and Kafka, ensuring data flows efficiently and reliably across the organisation. Working closely with BI, product, and engineering teams, you will help … Experience building streaming and batch pipelines using Spark Structured Streaming Hands-on experience with Kafka (MSK) and real-time data ingestion Strong understanding of Delta Lake, Delta Live Tables, and Medallion Architecture Proficiency in Python and SQL for data engineering and analytics TO BE CONSIDERED Please either ...

work closely with engineering and business stakeholders. What You'll Be Doing Designing and owning data models across the Medallion architecture layers Working with Delta Lake, Delta Live Tables, and Unity Catalog to build scalable, well-governed data assets Collaborating with data engineers and analysts to ensure … modelling focus Hands-on Databricks experience - certifications are a plus Solid understanding of Medallion/multi-hop architecture Proficiency in PySpark, Spark SQL, and Delta Lake Experience with Azure (ADF, Synapse, or similar) or AWS data services Strong communication skills - you'll be working closely with both technical ...

full data engineering lifecycle. Key Responsibilities • Design and develop scalable ETL/ELT pipelines using Databricks, Python, SQL, and Spark • Build and optimise Delta Lake architectures and data pipelines on AWS • Implement ingestion frameworks using Databricks Autoloader • Develop transformation workflows using Lakeflow/Delta Live Tables • Work … best practices Essential Skills & Experience • Strong commercial experience as a Senior Data Engineer • Proven expertise with Databricks on AWS (essential) • Strong understanding of Spark, Delta Lake, and Lakehouse architecture • Hands-on experience with Databricks Autoloader and Lakeflow/DLT • Experience using Data Asset Bundles within Databricks environments • Strong ...

implement scalable Databricks Lakehouse platforms on AWS and/or Azure aligned to client requirements Architect end-to-end data platforms including ingestion, storage (Delta Lake), processing, and consumption layers Build and configure cloud infrastructure using infrastructure-as-code (e.g. Terraform & Declarative Automation Bundles(DAB's)) Establish secure … pipelines, and release processes for Databricks deployments Implement monitoring, logging, cost optimisation, and performance tuning across the platform Design and implement data pipelines using Delta Live Tables, Auto Loader, and Databricks Workflows for both batch and streaming workloads Client Delivery & Enablement responsibilities: Work directly with clients to translate business ...

Microsoft Azure and Databricks Key Responsibilities: Design and implement scalable, secure cloud-based data architecture (Azure & Databricks) Develop optimised data models and pipelines using Delta Lake and Azure services Define data standards, policies, and governance practices aligned with compliance Enable real-time analytics and machine learning use cases … internal stakeholders and third-party vendors Key Skills & Experience: Proven background designing and delivering enterprise-scale data platforms Strong knowledge of Microsoft Azure, Databricks, Delta Lake, and data warehousing Advanced data modelling and ETL/ELT optimisation experience Familiarity with regulatory frameworks such as IFRS 17 , BCBS ...

reliable 'single version of the truth' for reporting and analytics; - Design and deploy secure, scalable ELT or ETL pipelines using Databricks (Unity Catalog), Delta Lake, and Azure Data Lake Storage (ADLS); - Implement shift-left security principles within the data ingestion layer, including automated data masking, encryption … . Experience - Implemented and operated cloud-based data platforms, ideally on Azure (experience MUST include build, not just maintenance of existing). - Delivered a Delta Lakehouse, Medallion Architecture, or similar curated data layering approach. - Created end-to-end ELT/ETL pipelines using Databricks, Spark, Azure DataFactory, or equivalent ...

DevOps, Power BI, Fabric workspaces AWS cloud, S3, cross-cloud connectivity, API Gateways GCP (BigQuery, GCS, Dataflow) Deep expertise in: Databricks (Lakehouse architecture, Delta Lake, Unity Catalog, Delta Sharing, Pyspark, Spark SQL etc.) Snowflake (data warehousing & data sharing, Iceberg, ) Strong understanding of: Data architecture patterns, industry benchmarking ...

term platform innovation Required Experience Strong experience designing enterprise data platforms within Microsoft Azure environments Deep expertise with Azure Databricks, Spark (PySpark/Scala), Delta Lake, and Lakehouse architecture Strong hands-on experience with Snowflake architecture and optimisation Experience with Azure Data Factory, ADLS Gen2, Synapse Analytics ...

Experience Strong experience in Data Engineering (3–6 years) Proficiency in Python and PySpark for large-scale data processing Hands-on experience with Databricks (Delta Lake, Workflows, Lakehouse architecture) Solid knowledge of AWS services (e.g. S3, Kinesis, Lambda, IAM) Experience building production-grade data pipelines Good understanding ...

reliability within production data environments. Experience working with cloud data services, ideally Azure, although AWS or GCP experience would also be relevant. Exposure to Delta Lake, Databricks Workflows, scheduling tools or lakehouse environments would be beneficial. An understanding of Power BI, reporting data models, governance, cataloguing or lineage ...

modern data platforms (Databricks, Snowflake, Synapse, BigQuery) Ensure robust data engineering practices (Airflow, dbt, Prefect) and governance (Collibra, Purview) Drive scalable lakehouse architectures (Delta Lake, Iceberg, Hudi) Cloud, Infrastructure & MLOps Champion multi-cloud engineering across Azure, AWS, and GCP Lead MLOps strategy (MLflow, Kubeflow, SageMaker, Vertex ...

data access. Ensure performance, scalability, and security of backend systems. Databricks & Data Engineering Develop ETL pipelines and workflows using PySpark on Databricks. Work with Delta Lake, Unity Catalog, and Databricks REST APIs. Optimize queries and pipelines for cost efficiency in cloud environments (Azure/AWS). SQL Database ...

connectivity issues across Foundry, Databricks and AWS. Desirable Skills Experience with Foundry Virtual Tables, Ontology, Workshop, Pipeline Builder or Code Repositories. Experience with Delta Lake, Parquet, Iceberg, CSV and JSON. Data governance, lineage, secure data-sharing and access approval experience. Python, PySpark or SQL development experience. CI/ ...

Commercial teams to deliver scalable solutions What you bring Must-haves 8+ years in data engineering/data architecture Deep experience with Databricks (Lakehouse, Delta Lake, Unity Catalog) Expert SQL and distributed computing knowledge Strong experience with data modelling (star/snowflake schemas) Proven experience migrating legacy data ...

multi-site business environment Strong proficiency in Python and SQL, with hands-on experience in Spark/PySpark and modern table formats (e.g. Delta Lake, Iceberg, Hudi) Expertise in AWS data services (e.g. S3, Glue, Redshift, Lambda, Step Functions, Kinesis) and infrastructure-as-code (Terraform or CDK) Experience ...

data governance frameworks, metadata management, and regulatory compliance It would be a bonus if you have: Familiarity with emerging technologies such as Apache Iceberg, Delta Lake, or data observability tooling Experience leading architecture workshops with both technical and non-technical stakeholders A background providing technical mentorship ...

Modelling, Data Warehousing. Strong background in incident resolution, requests, changes and problem-solving within SLAs. Hands-on experience with Spark, Data Architecture, SQL and Delta Lake. Cloud development experience (AWS, GCP or Azure). Working knowledge of Medallion Architecture. Demonstrated capability in implementing and supporting pipelines in demanding environments. ...

Modelling, Data Warehousing. Strong background in incident resolution, requests, changes and problem-solving within SLAs. Hands-on experience with Spark, Data Architecture, SQL and Delta Lake. Cloud development experience (AWS, GCP or Azure). Working knowledge of Medallion Architecture. Demonstrated capability in implementing and supporting pipelines in demanding environments. ...

experience with Microsoft Purview • Strong Azure Data Platform experience: ADLS Gen2, Azure Databricks, Data Factory • Hands-on data engineering experience (Spark/PySpark, Delta Lake) • Knowledge of security and compliance controls, GDPR, PII/DLP, RBAC/ABAC • Experience leading Agile teams and managing risks, dependencies, and senior ...

Catalog grants, schema mismatches and query failures. Technical Environment : Palantir Foundry, Foundry Virtual Tables, Ontology, Workshop, Pipeline Builder, Code Repositories, AWS, Databricks, Terraform, IaC, Delta Lake, Parquet, Iceberg, CSV, JSON, Python, PySpark, SQL, CI/CD, GitLab, GitHub Actions. ...