1 to 25 of 96 Remote/Hybrid Lakehouse Jobs in London

data platforms and modern data services. Experience with platforms such as Snowflake, Microsoft Fabric, Databricks or equivalent. Strong understanding of data modelling, data warehousing, Lakehouse and modern data architecture. Experience with data governance, data quality and metadata management. Exposure to AI/ML integration within data solutions ...

Factory, Azure Synapse Analytics, Databricks, Snowflake, Microsoft Fabric (preferred)* Strong SQL and database expertise across relational and non-relational platforms.* Experience designing Data Lakes, Lakehouse architectures, and Enterprise Data Warehouses.* Knowledge of data governance tools and frameworks.* Familiarity with API integration, messaging platforms, and event streaming technologies.* Strong understanding ...

Spark, Python or SQL - Experience working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake) - Experience building data platforms such as Data Lakes, Lakehouses or Data Meshes that underpin analytics ...

technologies and applications relevant to the Bank’s enterprise applications (e.g. Cloud, Azure, Databricks), and enterprise data and analytics ecosystems, including medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise scale analytics) Experience with data product thinking, domain-oriented ownership ...

Microsoft Foundry platformsVersion control and CI/CD experience with GitHubUnderstanding of ETL/ELT optimization patterns beyond Azure stackKnowledge of data mesh or lakehouse architectural conceptsHands-on exposure to dbt (data build tool), MKDocs and similar developer productivity toolingWe offerEPAM Employee Stock Purchase Plan (ESPP)Protection benefits including ...

Fabric is becoming central to the data environment, supporting operational, reporting and analytics requirements across the business. You'll work across: Microsoft Fabric, including Lakehouse, Warehouse and OneLake Data pipelines and ETL/ELT Power BI SQL and data modelling Azure Data Lake Internal and third-party API integrations ...

understanding the tradeoffs of at least one of the following Data Lake table/file formats: Delta Lake, Parquet, Iceberg, Hudi Experience working with lakehouse/medallion architectures in Databricks Experience with experimentation support tooling (such as Optimizely) A genuine curiosity about AI and a willingness to explore ...

performance issues Support the ongoing enhancement and modernisation of enterprise data platforms Databricks & Data Platform Engineering Develop and support Databricks-based data solutions and Lakehouse architectures Utilise Delta Lake and Spark technologies to deliver scalable data processing capabilities Optimise distributed data processing workloads for performance and reliability Implement data ...

delivery of data platform programmes, including architecture governance and stakeholder management. Strong expertise in modern data architecture concepts: data lakes, data warehouses, lakehouse, data mesh, data governance, security, and quality. Hands-on experience with Azure and/or AWS native services for data storage, processing, orchestration, analytics ...

technologies and architectural approaches including, butnotlimited to: Cloud platforms:AWS,Azureand GCP Modern data platforms:Databricks, Snowflake and cloud-native data services Data architecture:Lakehouse, medallion, datameshand domain-oriented patterns Data processing:Apache Spark,SQLand distributed processing technologies Data storage:Delta Lake, ApacheIcebergand open table formats Data pipelines:Enterprise ...

relational databases. Experience with data warehousing concepts and platforms. Excellent analytical and problem-solving skills. Strong communication and collaboration abilities. Knowledge of data Lakehouse architectures and modern data stack tools. Understanding of data privacy regulations (e.g., GDPR, HIPAA). Strong knowledge of data modeling tools (e.g., ER/Studio ...

Substantial experience building and running production data pipelines that other teams and customers depend on. Strong Python and SQL. Deep experience with a modern lakehouse, ideally Databricks and Unity Catalog, and with dbt. Comfortable on AWS and with infrastructure as code (Terraform). Strong grounding in ingestion and integration ...

environments and implement resilient, self-healing pipeline architectures. Key Business Value & Strategic Impact Your leadership will directly advance life sciences technology. By pairing modern lakehouse architecture (Snowflake, Apache Iceberg, Kafka) with AI-augmented workflows, you will empower our platform to process critical safety signals in hours rather than weeks. ...

with CI/CD for data engineering using GitHub or Azure DevOpsExperience designing infrastructure-as-code solutions for Azure environmentsUnderstanding of data mesh or lakehouse principles for large-scale architecturesBackground in financial trading or capital markets data domainsWe offerEPAM Employee Stock Purchase Plan (ESPP)Protection benefits including life assurance ...

performance tuning, advanced analytical queries, and reconciliation). Strong Azure Cloud Stack Experience: Azure Data Factory (ADF) Azure SQL DB Azure Data Lake/Lakehouse architectures Python for data manipulation & automation Proven experience across all migration phases: Strategy, Discovery, Cleansing, Mapping, Execution, and Post-migration Validation. Hands-on proficiency ...

reviews, pairing, and knowledge sharing. Problem-Solving: Pragmatic approach to balancing technical excellence with delivery needs. Nice to Have: Experience building Data Mesh or Lakehouse architectures. Familiarity with Kubernetes, Docker, and real-time streaming technologies (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. The Zego ...

Catalog, Jobs/Workflows and PySpark. An understanding of infrastructure as code and reproducible deployment practices. Familiarity with dbt and modern data warehouse/lakehouse patterns. PureGym is proud to be an equal opportunities employer. Our company mantra is 'Everybody Welcome' and we are dedicated to promoting a diverse ...

consulting engagements within a consultancy, systems integrator or technology services business You have strong hands-on knowledge of Microsoft Fabric, including data engineering, Lakehouse and Warehouse architectures, integration, governance and security You have Power BI expertise, including semantic modelling, enterprise reporting, governance and adoption You have a broad knowledge ...

take ownership of getting good quickly. People who wait to be trained will find this uncomfortable. Nice to Have: Familiarity with Data Mesh or Lakehouse architectures. Familiarity with Kubernetes, Docker, and real-time streaming technologies (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. Pay Transparency ...

data architect or senior data engineer working on large‐scale data and analytics platforms. Deep understanding of modern data architectures (e.g. data lakehouse, event‐driven architectures, streaming, data mesh principles). Strong knowledge of one or more leading cloud data stacks (e.g. GCP BigQuery, AWS Redshift/Glue, Azure ...

pipelines in AWS and/or GCP. Comfortable with data quality tooling and the mindset that correctness is non‐negotiable. Familiarity with medallion/lakehouse architecture patterns. Verbal and written fluency in English is required — we're a distributed team and written communication is important. Preferred Qualifications Airflow ...

strong track record of mentoring engineers, leading projects, and a clear desire to step into people management. Deep experience with a modern lakehouse, ideally Databricks and Unity Catalog, and with dbt. Comfortable on AWS and with infrastructure as code (Terraform), and able to hold your own in a design ...

track record in leading the architecture vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities* Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within ...

Experience delivering AI solutions in areas such as risk, compliance, fraud, customer operations, lending, or regulatory reporting. Data architecture, data modernisation, data platforms, or lakehouse expertise. Experience supporting large-scale cloud migration or transformation programmes. Knowledge of AI governance, model risk management, and regulatory requirements within financial services. Exposure ...

advising on migration architecture, transition states, historical data migration and legacy decommissioning. Lead the architecture, design and development of scalable cloud data warehouse, lakehouse, streaming and analytics solutions. Define ingestion, transformation and orchestration patterns, naming and structural conventions, and the publication boundary between Product Engineering and Data Engineering. Identify ...