1 to 25 of 42 Permanent PySpark Jobs in the UK excluding London

/version control Strong communication skills with both technical and non-technical stakeholders Desirable Skills: Microsoft Fabric Azure Synapse Analytics Databricks Apache Spark/PySpark dbt Apache Airflow Power BI Azure DevOps CI/CD pipelines Terraform What's On Offer: £65k+ salary package Hybrid working model Company bonus ...

enhance customer engagement, service delivery, and operational efficiencies. What you'll need to succeed Knowledge/Qualifications - Expert-level SQL and Python (ideally PySpark).- A strong understanding of DataSecOps; experience with PII handling, data obfuscation, and RBAC (Role-Based Access Control).- Proven ability to design data systems ...

assurance processes Excellent problem-solving skills with the ability to diagnose and resolve complex data issues Strong communication and stakeholder management experience Desirable Experience PySpark and/or Python development Azure Data Factory (ADF) Azure Synapse Analytics Azure Data Lake Storage Power BI development and data modelling Exposure ...

deliver practical, value-driven data solutions. Drive continuous improvement across data engineering, reporting, and analytics capabilities. Essential Requirements Strong expertise in SQL and Python (PySpark desirable). Proven experience designing and building cloud-based data platforms from inception. Hands-on experience with Databricks, Spark, modern data lake/lakehouse ...

will bring strong expertise in Power BI, Microsoft Fabric and associated languages such as DAX, SQL and Power Query. Familiarity with Azure DevOps and PySpark/Python would be beneficial as would experience of working with cloud-based data solutions. Principal Responsibilities Report Development: Develop and deploy Power ...

Azure. Experience with other platforms like AWS, Snowflake, or Databricks is also beneficial. Hands-on expertise with Data Factory (Fabric or Azure), notebooks (Python, PySpark), advanced SQL, and robust data modelling and performance optimisation skills. Proven track record in building scalable data pipelines and implementing modern architectures such ...

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 ...

including: CloudWatch, IAM, S3, 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/ ...

platforms (AWS preferred). Exposure to data warehousing, data lakes and modern data architecture. Understanding of workflow orchestration and automation tools. Python experience (including PySpark) is beneficial but not essential. Exposure to BI platforms such as Power BI, Tableau or QuickSight, with an understanding of how backend data models ...

hands-on experience with modern cloud data platforms (e.g. Databricks or Snowflake), ideally within AWS environments. Advanced programming and data engineering skills in Python, PySpark and SQL, with a solid understanding of ETL pipelines and data transformation. Proven experience in data modelling (end-to-end), including performance optimisation using ...

years of proven experience delivering robust data engineering solutions. The Fabric Ecosystem: Demonstrable, hands-on expertise with Microsoft Fabric , SQL , and Python/PySpark Notebooks . Core Competencies: Proven skill in dimensional modeling, data governance, and data extraction from online platforms via SaaS and APIs. Analytical Mindset: Excellent ability ...

design decisions. Required Skills & Experience Strong analytical skills with experience working with large-scale and unstructured datasets. Python development experience, including technologies such as PySpark, Pandas and PyArrow. Expertise in distributed data processing frameworks, particularly Apache Spark. Experience building and maintaining ETL pipelines using technologies such as Apache Airflow ...

Data Engineering Foundation: Practical experience with data modelling, ETL/ELT, and various database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and openness to tech stacks such as SSIS, Airflow, Spark, Databricks, Fabric. Cloud Capability: Experience with at least one major cloud provider (AWS, Azure ...

Data Platforms: Hands-on experience with Databricks and Azure Data Lake . ETL: Proven ability to build efficient pipelines (ADF, SSIS, APIs). Desirable: PySpark, Dimensional Modelling, DAX/SSAS, or an interest in AI/ML applications. Interested in learning more? Send me a DM or comment below ...

emerging data technologies Cloud experience across Azure, AWS or similar. The client is technology agnostic and values transferable skills over specific stack experience Python, PySpark or equivalent modern data engineering tooling Comfortable working at pace in a collaborative, fast-moving environment If you are an experienced Data Engineer with ...

wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies What you'll need: Strong Python, PySpark, SQL and Databricks or Snowflake experience AWS cloud data engineering expertise Experience building scalable batch and real-time data pipelines Airflow, CI/ ...

with various databases e.g. MS SQL, Azure Cosmos DB. Skilled at optimizing large and more complicated SQL statements. Proficiency in Python and experience with PySpark Experience of REST API standards. Proficiency in writing clean, readable, and secure code for Azure backend services, i.e. functions, utility functions etc. Experience ...

semantic model design Hands-on experience with Microsoft Fabric, particularly lakehouse architecture, notebooks and data pipelines Strong understanding of Apache Spark/PySpark and large-scale data processing Experience designing and operating modern data platforms Experience developing or enabling AI and machine learning capabilities using business data Strong understanding ...

data pipelines using Databricks and Apache Spark. Build and optimize data workflows for batch and real-time processing. Transform and process large datasets using PySpark, SQL, and Delta Lake. Implement data ingestion from multiple sources (APIs, streaming, databases). Your Skills: Python proficiency. AWS : Cloud formation , Service Catalog ...

Strong knowledge of data extraction, transformation, and loading (ETL) processes, leveraging tools such as Talend, Informatica, Matillion, Pentaho, MuleSoft, Boomi, or scripting languages (Python, PySpark, SQL). Solid understanding of data warehousing and data modelling techniques (Star Schema, Snowflake Schema). Familiarity with security frameworks (GDPR, HIPAA ...

hands-on experience with modern cloud data platforms (e.g. Databricks or Snowflake), ideally within AWS environments Advanced programming and data engineering skills in Python, PySpark and SQL, with a solid understanding of ETL pipelines and data transformation Proven experience in data modelling (end-to-end), including performance optimisation using ...

solutions Requirements: Enterprise data warehouse architecture and design Microsoft Fabric, Azure Data Platform technologies and modern Lakehouse architectures Databricks, Unity Catalog and Delta Lake PySpark, Databricks, SQL Medallion Architecture implementation Data modelling approaches including Star Schema and Data Vault Data governance, security and access management Why This Opportunity Greenfield ...

developers, architects and product teams to support analytics, machine learning and wider data-driven projects.Relevant experience includes:• Databricks or Snowflake, ideally within AWS• Python, PySpark and SQL• ETL pipelines and data transformation• End-to-end data modelling• DBT, SparkSQL, Airflow, Git, Jenkins or similar tools• Data quality, governance ...

apply Experience working as a Data Engineer Hands-on experience with Microsoft Fabric Experience with Azure Strong SQL skills Experience using Python, ideally PySpark Experience building and maintaining ETL or ELT pipelines Experience working directly with stakeholders Ability to gather requirements and translate them into technical solutions Experience with ...

expertise with 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 … deliver like a Senior Data Engineer . You'll be equally comfortable discussing strategic transformation plans with senior leadership as you are building PySpark pipelines, optimising Fabric workloads and solving complex data challenges. This is not a reporting role — it's a platform ownership role that will define ...