151 to 175 of 313 PySpark Jobs in the UK

Experience debugging moderately complex systems and improving reliability/performance Strong fundamentals: data structures, testing, version control, Linux basics Nice to have: Spark/PySpark experience Hadoop ecosystem exposure (HDFS/HBase) Workflow orchestration (Airflow/Dagster/NiFi) Search/indexing (OpenSearch, MongoDB) Kubernetes and infrastructure‐as‐code ...

production deployment and monitoring — and know where each stage tends to go wrong. You're fluent in Python and SQL, and you've used PySpark or Spark to process data at scale. You've built agentic AI workflows — not just used off-the-shelf tools, but designed the automation ...

troubleshooting of Azure DatabricksDatabricks Serverless configuration and workload optimisationDatabricks SQL and Delta Lake developmentCluster management, compute policies, autoscaling, and workload monitoringData EngineeringStrong Python, PySpark, and SQL development skillsDesign and build ingestion and transformation pipelinesFull and incremental data loadingCDC (Change Data Capture) implementationData quality controls, schema evolution, reconciliation, and error ...

Azure, build pipelines with Data Factory, Databricks, and Synapse, and mentor teams on modern cloud transformations. Role requires strong SQL/Python/PySpark skills, deep data governance understanding, and experience delivering data architectures for enterprise clients. Onsite mobility with clients is expected. #J-18808-Ljbffr ...

successful candidate will design and implement modern data lakehouse architectures, ensuring high performance and scalability. Key responsibilities include developing data pipelines using Python and PySpark, working with AWS services, and implementing CI/CD pipelines. Strong experience in AWS Data Engineering and knowledge of data quality frameworks are essential. ...

understanding of DAG (Directed Acyclic Graphs) and their role in pipeline orchestration It would be nice if you could bring (desirables): Professional experience with PySpark, MySQL, Docker, Kubernetes Experience with best-practice pipeline orchestration software (Airflow, Dagster). Experience migrating code from prototype notebooks to .py, while maintaining logic ...

experience with Axiom (plus) and regulatory reporting flows (plus) Excellent communication; proven stakeholder engagement Ability to learn/adapt to new technologies Skilled PySpark, HDFS, SQL, Airflow, data modeling, and ETL processing. Familiarity with GitLab and Jupyter Notebook is preferred, and knowledge of Java will be considered an added ...

live. Strong Python and SQL skills, with experience writing version-controlled, tested and maintainable code. Experience with the Python geospatial ecosystem and working with PySpark on Databricks. Working knowledge of dbt, MLflow and production model deployment patterns . Confidence using AI-assisted development tooling appropriately as part ...

coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques ...

Delta Lake, with governance, security, and real-time processing at scale. The role sits in the Enterprise Data Team and requires strong SQL and PySpark, plus experience with cloud-native data platforms. Hybrid working available, with 2 days in the office and 3 days from home. #J-18808-Ljbffr ...

functional teams to deliver high-quality technical solutions. Support the ongoing maintenance and optimisation of platform services. Essential Skills & Experience Hands-on experience with PySpark for data transformation and processing. Experience working with AWS data services , including: AWS Glue Amazon S3 Experience using Terraform for Infrastructure as Code. Experience ...

engineering excellence through best practices, mentoring, and thoughtful technical direction. Job responsibilities Design scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability Develop and operate workflow orchestration (e.g., Apache Airflow … transformations Model and transform data for analytics using SQL and dbt to support business intelligence and reporting workloads Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented design Implement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based data platform ...

engineering excellence through best practices, mentoring, and thoughtful technical direction. Job responsibilities Design scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability Develop and operate workflow orchestration (e.g., Apache Airflow … transformations Model and transform data for analytics using SQL and dbt to support business intelligence and reporting workloads Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented design Implement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based data platform ...

contribute to engineering excellence through best practices, mentoring, and thoughtful technical direction. Job responsibilitiesDesign scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbtBuild and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observabilityDevelop and operate workflow orchestration (e.g., Apache Airflow … data movement and transformationsModel and transform data for analytics using SQL and dbt to support business intelligence and reporting workloadsWrite production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented designImplement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based data platform ...

Building and maintaining scalable data pipelines, pulling data in from core business systems and third-party sources. Designing and developing data solutions with Python, PySpark, SQL, notebooks and dataflows across a modern medallion architecture (Bronze, Silver, Gold). Creating and optimising data models that power high-quality Power … future analytics, AI and machine learning capability. Candidate Essential Experience, Qualifications and Skills Commercial data engineering experience (4+ years) SQL (4+ years) Python and PySpark (3+ years) Microsoft Fabric or an equivalent Azure data platform (2+ years) Medallion/layered lakehouse architecture (2+ years) Dimensional data modelling for analytics ...

data platforms. Responsibilities Design, develop and maintain scalable data pipelines using Microsoft Fabric, Azure Databricks and Azure Synapse. Develop ETL/ELT solutions using PySpark and SQL. Build and optimise data integration solutions using Azure Data Factory and Microsoft Fabric. Design scalable lakehouse and data warehouse solutions. Optimise data … engineering standards. Troubleshoot production issues and continuously improve platform performance. Requirements Strong commercial experience as a Data Engineer (5+ years). Strong experience with PySpark . Advanced SQL skills. Experience with Microsoft Fabric , Azure Databricks and/or Azure Synapse Analytics . Experience building data pipelines using Azure Data ...

Senior Data Engineer Who we areArtefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain ...

British International Investment (BII) is the UK’s leading development finance institution, wholly owned by the UK Government. Our primary mission is to address global development challenges through strategic investments that promote sustainable and inclusive ...

cloud‐native experience Preferred Qualifications, Capabilities, and Skills: Experience with modern data technologies such as Databricks or Snowflake Hands‐on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, #J ...

data ecosystem. You will lead a small team, mentor junior engineers, and collaborate with stakeholders to deliver scalable data pipelines on Databricks using PySpark and Spark SQL. The role involves guiding data strategy, migrating legacy processes, and delivering enterprise data solutions in a cloud-native environment, with hybrid #J ...

scalable applications. You will own data analysis, system design, and the full software lifecycle from requirements gathering to deployment. The role emphasizes strong Python, PySpark, SQL skills, and experience with ETL, data modeling, and regulatory reporting flows. Collaboration with the Axiom team is also key. #J-18808-Ljbffr ...

Databricks-centric data platform in the insurance/fintech space. You will own architecture, strategy and roadmap for scalable data pipelines using Python, PySpark and SQL, while guiding a team of Data Engineers and collaborating with Risk, Quantitative Finance, Compliance and Data Science teams. Strong governance and stakeholder communication ...

opportunities and shaping hypotheses through to data exploration, feature engineering, model development, and deployment. Working with large and complex datasets, you'll use Python, PySpark, SQL, and Azure Databricks to develop robust predictive models and analytical solutions. Just as importantly, you'll be able to explain your findings ...

passion for solving complex data challengesWhile we advocate using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such ...

genomic data. You have A BSc or MSc in computer science or related fields Expertise in Python, including popular Python libraries: NumPy, Pandas, PySpark and frameworks: Django, Django Rest Framework, FastAPI Hands-on experience with both relational (e.g. PostgreSQL) and non-relational databases (e.g. Elasticsearch, Redis) Extensive experience ...