1 to 25 of 47 Delta Lake Jobs in the UK

OneLake and Databricks Unity Catalog. Build optimised Lakehouse and warehouse structures using Databricks SQL and Fabric SQL endpoints. Establish data pipelines using Databricks Workflows, Delta Live Tables (DLT), and Fabric Data Factory. Formulate cross‐platform data strategies utilising shared Delta Lake formats to eliminate data duplication. Implement … scalable lakehouse and warehouse solutions (Databricks SQL, Fabric SQL). Strong data pipeline development using Databricks Workflows, DLT, and Fabric Data Factory. Knowledge of Delta Lake and cross‐platform data strategies to reduce duplication. Data governance expertise, including Unity Catalog, RLS, and data lineage. Experience managing compute across ...

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 ...

their own workflows. We are in the process of a major technology migration, moving our core data pipelines from generating HDF5 files into generating Delta Tables. This will improve efficiency, ensure future scalability and modernise the architecture. We are looking for an experienced lead to head up a small … cutting‐edge FinTech company with the potential to grow your technical, finance and cloud‐ & data‐engineering skills. Responsibilities Technical leadership and management of the delta lake migration team, organising work into 2‐week sprints, upwards reporting on progress and blockers. Development, testing and migration of some ...

into the Bronze layer, working in partnership with the Development and Application Management team. Design and optimise ETL/ELT pipeline frameworks using Databricks, Delta Lake and Azure Data Factory. Ensure Silver and Gold layer data products are fit for purpose for analytics, pricing, AI and ML model … scalability. Experience in regulated financial services, ensuring compliance with industry standards. Deep expertise in data modelling — conceptual, logical and physical. Data warehousing and data lake architecture for high‐performance analytics. ETL/ELT pipeline development and optimisation to support large‐scale data processing. Data integration across structured and unstructured ...

into the Bronze layer, working in partnership with the Development and Application Management team. Design and optimise ETL/ELT pipeline frameworks using Databricks, Delta Lake and Azure Data Factory. Ensure Silver and Gold layer data products are fit for purpose for analytics, pricing, AI and ML model … scalability. Experience in regulated financial services, ensuring compliance with industry standards. Deep expertise in data modelling — conceptual, logical and physical. Data warehousing and data lake architecture for high‐performance analytics. ETL/ELT pipeline development and optimisation to support large‐scale data processing. Data integration across structured and unstructured ...

dimensional modelling) for consistent implementation across data solutionsEvaluate and recommend architectural approaches for data storage, processing, and consumption, including lakehouse, data warehousing, and data lake patternsDesign technical architecture for cloud-based data platforms (AWS preferred: Redshift, Athena, S3, Glue)Create and maintain architecture documentation, including data flow diagrams, architecture … recommend new technologies and tools that enhance Arriva's data and BI capabilitiesStay current with emerging trends including open table formats (Apache Iceberg, Delta Lake), data observability, real-time/streaming architectures, and cloud-native solutionsConduct proofs-of-concept and technical assessments to validate new technologies before adoptionMonitor ...

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 ...

practices, and guiding engineering teams to deliver scalable, secure, and cost optimized data platforms. \* Design end to end data platforms leveraging Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and ML/AI workloads. \* Define data ingestion, transformation, governance, and consumption frameworks aligned to enterprise standards. \* Evaluate and recommend … emerging technologies. \* Develop reference architectures, solution blueprints, and best-practice playbooks for Databricks implementations. \* Architect scalable ETL/ELT pipelines using PySpark, Spark SQL, Delta Live Tables, and Databricks Workflows. \* Implement performance optimization strategies for notebooks, clusters, job orchestration, and data storage. \* Guide teams in building curated, governed data ...

understanding of cloud security, access control, and governance principles Strong software engineering fundamentals and automation mindset Nice-to-have: Enterprise-scale data platform experience Delta Lake, Delta Live Tables (DLT), and Databricks SQL Azure monitoring and observability tooling Event-driven or streaming architectures Experience working across platform ...

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 ...

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 ...

framework for RC, PFE and EAD calculations, including netting sets, supervisory factors and collateral/CSA logic.* **Design a modern Databricks architecture** using Delta Lake, Unity Catalog and Spark/PySpark to support versioned, reproducible and regulator‐defensible exposure calculations.* **Develop high‐performance compute pipelines** that support intraday … Deep understanding of SA‐CCR** (RC, PFE, EAD), exposure methodology, netting sets, supervisory parameters and collateral/CSA design.* **Strong Databricks engineering capability**, including Delta Lake versioning, Unity Catalog governance, Spark/PySpark optimisation and secure data architecture.* **Experience designing governed, audit‐ready systems**, with a focus ...

Data Engineering Leadership Design data ingestion, transformation, and orchestration frameworks. Architect batch and Real Time data processing solutions. Lead implementation of enterprise-scale data lake and data warehouse platforms. Establish data modelling strategies including: Star Schema Snowflake Schema Lakehouse Architecture Medallion Architecture Security & Networking Architecture Design and implement secure … Strong hands-on experience with: Microsoft Fabric Fabric Lakehouse Dataflows Gen2 Fabric Pipelines Fabric Warehouse Azure Data Factory (ADF) Azure Synapse Analytics Azure Data Lake Storage Gen2 Delta Lake Lakehouse Architecture Data Engineering ETL/ELT pipeline design and implementation Data transformation using SQL and PySpark Large ...

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 ...

client-facing documentation. Preferred Criteria Experience with real-time data processing (Kafka, Kinesis, Azure Event Hub). Knowledge of big data storage solutions (Delta Lake, Parquet, Avro). Experience with data visualization tools (Power BI, Tableau, Looker). Understanding of AI/ML concepts and collaboration with ...

engineering processes. Mentor junior engineers and support knowledge-sharing across teams. Key Responsibilities: Design, build, and maintain scalable data pipelines using Databricks, Spark, and Delta Lake. Develop efficient ETL/ELT workflows to process large volumes of structured and unstructured data. Implement data governance, security, and compliance standards. Work … pipeline deployment and monitoring. What We Are Looking For: 5+ years of experience in data engineering or related roles. Strong expertise in Databricks, Spark, Delta Lake, and cloud data platforms (AWS, Azure, or GCP). Proficiency in Python and SQL for data manipulation and transformation. Experience with ...

transformation Hybrid working with flexibility and autonomy Key Experience Deep end-to-end experience delivering enterprise Databricks analytics solutions Expertise in Lakehouse Architecture, Delta Lake, Spark, PySpark Strong data modelling skills (3NF, Kimball, Data Vault) Experience exposing Delta Lakehouse to Power BI or Tableau Skilled in Python … Scala or SQL for data engineering Experience building scalable ETL pipelines (Workflows, Delta Live Tables) Hands-on experience with Azure, AWS or GCP (storage, compute, networking) Knowledge of Databricks security: RBAC, IAM, encryption Excellent analytical skills and the confidence to challenge thinking at all levels Bonus: Databricks certifications (Data ...

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 ...

with OIDC federation) and/or Azure DevOps, supporting trunk-based development practices. Must Have Databricks: hands-on experience building and optimizing pipelines, managing Delta Lake, and administering workspaces (cluster policies, Unity Catalog, Secret Scopes, Workflows). Python/PySpark: strong programming skills for data processing, automation ...

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 Engineerin gDevelop 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 Managemen ...

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/ ...

divergent source systems into canonical models across multiple products. Strong grounding in Lakehouse architecture trade‐offs: table formats, query engines, ingestion patterns (Iceberg vs Delta; Dremio vs Trino vs Snowflake; streaming vs batch). Hands‐on experience with: Dremio, Snowflake, or Databricks AWS data services (S3, Glue, Athena, Lake … Stream processing (Apache Flink, Spark Structured Streaming, or equivalent) SQL and query optimisation at scale Data and table formats (Parquet, Avro, Apache Iceberg or Delta Lake) Experience designing SaaS data models, tenant isolation, shared schemas, access patterns, at scale. Ability to communicate architecture decisions to engineers, product leadership ...