1 to 25 of 26 Delta Lake Jobs in England

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 ...

+ Bonus Our client is in the process of a major technology migration, moving their core data pipelines from generating HDF5 files into generating Delta Tables. This will improve efficiency, ensure future scalability and modernise the architecture. They 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 ...

transformations, stored procedures, and performance basics 3+ years Azure Data Factory, including pipeline development, parameter usage, and basic templates 3+ years Databricks experience (PySpark, Delta Lake, notebooks) 2+ years Python Experience Experience working with data warehouses and structured modelling concepts Strong understanding of ETL/ELT practices … data centric engineering Desirable Exposure to metadata driven or config driven engineering practices Basic PySpark optimisation or Delta Lake performance tuning Experience using Azure DevOps (repos, pipelines) Understanding of data governance, data quality tooling, or lineage concepts Experience in regulated environments or financial services The Application Timeline ...

analytics tasks and queries. Exposure to Java script technologies (preferably React) Exposure to Azure Databricks environment is desirable (PySpark, notebooks, integrate repos, job workflows, delta lake, unity catalog etc) Exposure to azure environment and various interconnected azure components (Functions, App Service, Containers etc.). Knowledge on Financial domain … Bash, PySpark Web frameworks: Django, Flask, or FastAPI. Frontend Technologies: ReactJS, Java Script Azure : Azure Databricks, Azure Synapse Analytics, Azure Functions, Azure Data Lake Storage Gen2, Azure Event Grid, Azure Event Hubs, Azure Service Bus, Azure Key Vault, Azure Monitor, Azure Log Analytics, Azure API Management (APIM), Azure DevOps. ...

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 ...

Doing Designing and building end-to-end data pipelines using Databricks on Azure or AWS Developing modern lakehouse architectures using: Databricks (Spark, SQL, Delta Lake) Azure Data Lake Storage or Amazon S3 Writing high-quality PySpark, Python, and SQL for ingestion, transformation, and modelling Implementing Bronze/ ...

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 ...

reliability. Collaborate with analysts and AI engineers to deliver robust and reusable data products. Manage data lakes and warehouses using formats such as Delta Lake and Parquet. Implement best practices for data governance, performance, and security. Continuously evaluate and adopt new technologies to evolve Movar's data platform. ...

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 ...

target mapping, data quality rule setup for the target data model’s critical data elements (CDE). Database Optimization: Optimize Cloud databases such as Delta Lake or One Lake for efficiency, scalability, and faster access using techniques like indexing and partitioning. Data Governance: Work with Federated Governance ...

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/ ...

Required Skills Strong background in data testing, ETL validation, and data migration. Hands-on expertise with cloud-based data platforms (Azure Data Factory, Databricks, Delta Lake). Advanced SQL skills for complex query validation. Experience with Agile/DevOps delivery models and JIRA test management. Familiarity with automation ...

Role Design and build scalable ETL/ELT pipelines in Microsoft Fabric using PySpark and SQL Develop transformation logic within Fabric Lakehouses using Delta Lake and medallion architecture principles Integrate data from ecommerce, ticketing, and marketing platforms into a central data layer Connect sources such as GA4, Google ...

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 ...

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. ...

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. ...

AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks ...

AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake and MLflow. For more information, follow Databricks on Twitter, LinkedIn and Facebook. Benefits: At Databricks, we strive to provide comprehensive benefits and perks ...

AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks ...

BMLL Technologies Limited in Greater London is seeking an experienced Technical Lead to manage the migration to Delta Lake. This role combines hands-on development, primarily in C++ and Python, with team leadership in Agile sprints. You will guide a small team through the migration process, collaborating with architects ...

AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks ...