1 to 25 of 106 Apache Spark Jobs in the UK

Lead Backend Software Engineer – Data Services Federated Data Services | Distributed Systems | Apache Spark | DataFusion | Python | Kubernetes Location: London (2 days per week onsite) Rate: £700–£800 per day (Outside IR35) Duration: Initial 6-month contract with likely extension Overview We're looking for an experienced Lead Backend Software … data services capable of securely querying and processing data across multiple environments. Design high-performance data processing and streaming workflows using technologies such as Apache Spark, Apache DataFusion, or similar distributed query frameworks. Design and implement Kubernetes-based services and containerised workloads. Build secure APIs and backend ...

complex legacy data pipelines into production-grade PySpark Building scalable, reusable data movement frameworks across multiple engineering teams Driving best practice around AWS Glue, Apache Spark and Apache Airflow Designing high-quality testing frameworks covering performance, data quality and reliability Leveraging Agentic AI development tools to improve … consumed We're looking for someone with experience in Staff, Principal or Lead Data Engineering roles Python and expert-level PySpark AWS Glue Apache Spark Apache Airflow Cloud-native Data Engineering architectures Large-scale data pipeline modernisation Building reusable engineering patterns within enterprise environments Data testing, validation ...

designing and delivering modern data platforms, working closely with clients and technical teams to build scalable, secure and high-performing solutions using Databricks, Apache Spark and cloud technologies. You'll also play a key role in pre-sales activities, solution design, and helping to drive strategic Databricks initiatives … Databricks and modern data platform delivery. Skills & Experience Required 7+ years' experience in Data Architecture or Solution Architecture. Strong commercial experience with Databricks and Apache Spark . Experience delivering enterprise data platforms on AWS, Azure or GCP. Strong understanding of data warehousing, data lakes and lakehouse architectures. Experience ...

domain-driven approaches CI/CD for data pipelines, version control discipline, infrastructure-as-code basics (Terraform) Streaming and big data exposure (Kafka, Kinesis, Spark, Flink) is a plus Data quality and observability tooling (Great Expectations, Monte Carlo, Soda, dbt tests) is a plus Engineering & Soft Skills: Strong software ...

/CD, and Infrastructure as Code. Desirable: Experience within UK Defence, Intelligence, or National Security sectors. Knowledge of big data tools such as Kafka, Spark, or Hadoop. Support for machine learning or advanced analytics workloads. Experience working with classified datasets and Elastic Stack (ELK). If you're ready ...

learning or data science. Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials. Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives). Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow ...

lead quality assurance and testing activities within a large-scale cloud data engineering programme operating across a modern AWS-native technology ecosystem, including Apache Airflow, Amazon Athena, AWS Glue, S3, EMR, DynamoDB, and related cloud services. This role combines hands-on technical leadership with test strategy ownership . … reconciliation, and performance under load Oversee PySpark-based data validation and interrogation activities on AWS EMR Support testing and monitoring of workflows orchestrated through Apache Airflow Drive root cause analysis for production data issues and platform defects Risk Management & Reporting Identify, assess, and communicate quality risks across releases ...

understanding of Quantexa components such as: Entity Resolution (ER), Scoring Framework, Contextual Network Generation, UI Configuration. Strong background in Big Data technologies, including: Scala, Apache Spark, Hadoop, ElasticSearch. Experience with data modelling and design in the context of large-scale analytics platforms. Strong stakeholder management and communication skills ...

consultancy or client delivery setting. Proven experience across data analysis, extraction, transformation, and loading, with hands-on knowledge of relevant technologies such as Spark, Python, Kafka, SQL, Airflow, and cloud-based ETL services. Experience designing schemas for data warehouses and data marts, assessing data quality issues, and integrating quality ...

Glue, ECR, EC2, EMR, DynamoDB, Lake Formation Experience with Infrastructure as Code (Terraform) Proficiency in Python, SQL, and familiarity with PySpark Experience with Apache Spark and data processing frameworks Hands-on experience with Apache Airflow for workflow orchestration Experience using Jupyter Notebooks and/or Amazon Athena ...

strategic thinking. Essential Skills & Experience Strong Microsoft Fabric expertise (Lakehouse, Warehouse, Pipelines, Notebooks) OneLake architecture and management Advanced SQL/T-SQL PySpark and Spark optimisation Data warehousing, modelling and ETL/ELT development Power BI semantic modelling Experience delivering enterprise cloud data platforms Experience integrating multiple business systems ...

data into something they can actually use and act on. What you'll be doing: Designing and building performant data ingestion pipelines using Apache Spark, ideally within Azure Databricks Contributing to the platform's data modelling and architecture Building dashboards and semantic models, and presenting these directly ...

data into something they can actually use and act on. What you'll be doing: Designing and building performant data ingestion pipelines using Apache Spark, ideally within Azure Databricks Contributing to the platform's data modelling and architecture Building dashboards and semantic models, and presenting these directly ...

data into something they can actually use and act on. What you'll be doing: Designing and building performant data ingestion pipelines using Apache Spark, ideally within Azure Databricks Contributing to the platform's data modelling and architecture Building dashboards and semantic models, and presenting these directly ...

Exceptional programming skills in Python, with a command of data science libraries (e.g., Pandas, NumPy, Scikit‐learn). Experience with big data technologies (e.g., Spark, Trino, Hadoop) and ideally cloud platforms (e.g., AWS, GCP, Azure) for scalable data processing, storage, and model deployment. Ideally having understanding and practical experience ...

Exceptional programming skills in Python, with a command of data science libraries (e.g., Pandas, NumPy, Scikit‐learn). Experience with big data technologies (e.g., Spark, Trino, Hadoop) and ideally cloud platforms (e.g., AWS, GCP, Azure) for scalable data processing, storage, and model deployment. Ideally having understanding and practical experience ...

platforms for performance and reliability Collaborate with Agile teams to deliver secure, high-quality solutions Write clean, tested, maintainable code Required Skills: Experience with Apache Spark, Hadoop or similar big data technologies AWS Apache NiFi Python or Java Experience building data pipelines and ETL processes Desirable ...

platforms for performance and reliability Collaborate with Agile teams to deliver secure, high-quality solutions Write clean, tested, maintainable code Required Skills: Experience with Apache Spark, Hadoop or similar big data technologies AWS Apache NiFi Python or Java Experience building data pipelines and ETL processes Desirable ...

PostgreSQL (or similar relational databases) and NoSQL databases. Experience with vector databases such as Qdrant, Milvus or pgvector . Familiarity with technologies such as Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, Pandas and Polars . Strong understanding of data modelling, storage architecture and performance optimisation. Desirable Experience working ...

data models and ETL processes, to support the construction of scalable and efficient data systems. Familiarity with big data tools like DuckDB, Polars or Apache Spark for processing out-of-memory datasets" . Proven experience collaborating with first-team stakeholders within a professional sports environment, demonstrating strong interpersonal ...

Strong background in data engineering and software development Proven experience working with Databricks (essential) Hands-on expertise with tools such as Python, PySpark, Spark, and SQL Experience building and maintaining data pipelines and data platforms Solid understanding of data modelling and data architecture principles Experience working with cloud platforms ...

workflows. Key Requirements Passion for building scalable, resilient cloud data platforms. Strong experience with Databricks or Snowflake on AWS. Proven Python skills, including Spark and Airflow expertise. Advanced SQL skills and end-to-end data modelling experience. Experience building batch and real-time data integrations. Hands-on CICD skills ...

business value in collaboration with an Account Executive and a Senior Solutions Architect. Gain excitement from clients about Databricks through hands‐on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications. Contribute to building the Databricks technical community through engagement at workshops, seminars ...

prem environments. Hard Skills Experience in data engineering, ideally aerospace/defence or industrial sectors. ETL/ELT tools (Airflow, Azure, Microsoft SSIS), streaming (Spark, Kafka). Strong Python and SQL; C++, C#, or MATLAB a plus. Databases: PostgreSQL, SQL Server, Oracle, Snowflake, Iceberg, TimescaleDB. Data Platform Capabilities ...

What the role entails: Some of the main duties of the Data Engineer will include: Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design and implement ...