1 to 25 of 30 Remote/Hybrid Apache Spark Jobs in the UK excluding London

code and sharing knowledge across the team Supporting production systems when needed The platform uses a mix of modern data tooling including AWS and Apache Spark, so there's plenty of opportunity to work with big data technologies. What they're hoping you'll bring … complex data problems An interest in improving pipelines, tooling and processes A collaborative approach and willingness to share ideas Exposure to tools like Apache Spark, modern data platforms, or AI tools for development productivity would be a bonus but isn't essential. The setup The team works ...

team members, building technical expertise and capability Key Responsibilities Develop production-ready data pipelines and processing jobs using batch and streaming frameworks such as Apache Spark and Apache Beam Apply expertise in data storage technologies including relational, columnar, document, NoSQL, data warehouses, and data lakes Implement modern ...

team members, building technical expertise and capability Key Responsibilities Develop production-ready data pipelines and processing jobs using batch and streaming frameworks such as Apache Spark and Apache Beam Apply expertise in data storage technologies including relational, columnar, document, NoSQL, data warehouses, and data lakes Implement modern ...

team members, building technical expertise and capability Key Responsibilities Develop production-ready data pipelines and processing jobs using batch and streaming frameworks such as Apache Spark and Apache Beam Apply expertise in data storage technologies including relational, columnar, document, NoSQL, data warehouses, and data lakes Implement modern ...

team members, building technical expertise and capability Key Responsibilities Develop production-ready data pipelines and processing jobs using batch and streaming frameworks such as Apache Spark and Apache Beam Apply expertise in data storage technologies including relational, columnar, document, NoSQL, data warehouses, and data lakes Implement modern ...

downstream data services across the organisation. Key Responsibilities Design, build, and maintain data pipelines using Databricks Develop ETL/ELT processes with PySpark and Spark SQL Transform and model structured and semi-structured datasets Improve performance, reliability, and cost efficiency of data workloads Ensure compliance with data governance, security … practice routes Required Skills & Experience Active SC Clearance - mandatory and non-negotiable Strong hands-on experience with Databricks in production environments Expert knowledge of Apache Spark , including PySpark and Spark SQL Proficiency with Python for data engineering Experience delivering solutions on cloud data platforms ( AWS preferred , Azure ...

within scalable cloud -based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/ ...

within scalable cloud -based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/ ...

deliver high-quality, consumable datasets while contributing to best practices across the wider platform. You'll be working heavily with Python , SQL and Spark , using tools such as Databricks , Airflow , dbt and Kafka within AWS . Experience with modern data stacks is important, along with a solid understanding ...

deliver intelligent data products, leveraging modern cloud and AI technologies. Key Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including ...

integration. Proficiency with Databricks for data processing and analytics. Working knowledge of NodeJS would be an added advantage. Solid programming skills in Python , PySpark, Spark . Candidate must be adept at working with large-scale datasets , S3 , Python , and data cataloguing tools . Familiarity with data engineering best practices ...

seeking a Lead Data Engineering Consultant with proven experience in leading and developing data engineering platforms. Experience required: Extensive enterprise experience with Hadoop, Spark, and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python. Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL ...

seeking a Lead Data Engineering Consultant with proven experience in leading and developing data engineering platforms. Experience required: Extensive enterprise experience with Hadoop, Spark, and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python. Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL ...

deploying machine learning models into production environments (MLOps experience is advantageous). Hands-on experience with big-data or distributed computing tools such as Spark and Databricks. Familiarity with visualisation tools such as Power BI, Tableau, or Plotly. Key Competencies Strong analytical and conceptual thinking. Excellent communication and data ...

teams to drive outcomes Core skills (indicative) Production pipeline design and deployment experience Strong engineering capability with Python, SQL, plus big data tooling (e.g., Spark, and Java/Scala where relevant AWS, Azure, GCP Working pattern Hybrid working, with the team on client site or in the office ...

didn't hate it. A background in behavioural science, organisational psychology, or psychometrics — the company works heavily with survey data and measurement validation. Spark, Databricks, or distributed computing experience. Published research or an academic background in statistics, ML, or a quantitative field. What's on Offer Salary ...

influence within the team and communicate clearly with technical and non-technical stakeholders. Data Engineer (New Technology/Microsoft) Strong experience with Databricks (Spark, PySpark, Delta Lake, and Unity Catalog advantageous). Proficiency in Azure data services (Azure Data Factory, Data Lake, Azure Functions advantageous). Experience contributing … Engineer or Solutions Architect certification (desirable). Databricks Certified Data Engineer or Machine Learning Associate (desirable). Experience with streaming solutions (Kafka, Event Hubs, Spark Streaming) (desirable). Knowledge of machine learning and AI on Databricks (desirable). ...

e.g. Pandas, NumPy, Matplotlib) Data visualisation using Power BI or Tableau ideal Familiarity with Agile delivery methodologies Microsoft Fabric Power Apps, Power Automate, Dataverse Apache Spark/PySpark ...

will be able to demonstrate skills and experience in many of the following: - Expertise in designing production-grade data pipelines using Python, Scala, Spark, and SQL - Deep knowledge of AWS Cloud Platforms (EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB) - Experience with data processing across structured and unstructured sources - Strong scripting ...

Python Experience with Kubernetes and Docker Understanding of CI/CD pipelines (eg GitLab) Exposure to data platforms, MLOps or machine learning environments Desirable: Spark or Scala AWS services (eg S3) Elasticsearch or graph databases Vector databases/modern data tooling OIDC/OAuth Node.js or React To apply ...

team engineering organisations Strong background in distributed systems, large-scale data pipelines and ML model deployment Deep understanding of modern data stacks such as Spark, Databricks or cloud-native architectures Solid understanding of modern frontend engineering, DevOps knowledge and experience delivering machine learning systems Strong communication, organisation and stakeholder ...

Data Engineer Role: Data EngineerLocation: Newcastle Upon TyneSalary: TBC – Depending on experienceLevels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is ...

/ELT pipelines integrating large, complex datasets Work with structured, semi-structured, and unstructured data across SQL and NoSQL technologies Develop solutions using Hadoop, Spark, and Splunk in large-scale environments Write maintainable Python code, applying object-oriented and functional programming principles Implement and maintain CI/CD pipelines … sustainability, and recoverability Essential Skills & Experience Proven experience as a Lead or Senior Data Engineer in enterprise-scale environments Hands-on expertise with Hadoop, Spark, and Splunk Advanced Python development skills Experience designing and optimising high-performance data pipelines Strong understanding of CI/CD, source control, and automated ...

data architectures Build scalable ETL workflows and data lake solutions using AWS-native services Engineer high-performance data processing solutions using Python, Java, Scala, Spark and SQL Integrate structured and unstructured data from multiple sources using APIs, scripting and cloud-native tooling Design and build robust AWS cloud data … expertise, particularly across data and analytics services Hands-on experience building ETL processes and data lake/warehouse architectures Proficiency in Python, Java, Scala, Spark and SQL Experience processing large-scale structured and unstructured datasets Experience extracting and integrating data via APIs and custom scripting Strong analytical thinking ...

data architectures Build scalable ETL workflows and data lake solutions using AWS-native services Engineer high-performance data processing solutions using Python, Java, Scala, Spark and SQL Integrate structured and unstructured data from multiple sources using APIs, scripting and cloud-native tooling Design and build robust AWS cloud data … expertise, particularly across data and analytics services Hands-on experience building ETL processes and data lake/warehouse architectures Proficiency in Python, Java, Scala, Spark and SQL Experience processing large-scale structured and unstructured datasets Experience extracting and integrating data via APIs and custom scripting Strong analytical thinking ...