1 to 25 of 169 PySpark Jobs in the UK excluding London

/CD) automation, rigorous code reviews, documentation as communication. Preferred Qualifications Familiar with data manipulation and experience with Python libraries like Flask, FastAPI, Pandas, PySpark, PyTorch, to name a few. Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc. Experience in building More ❯

Proven experience of ETL/ELT, including Lakehouse, Pipeline Design, Batch/Stream processing. Strong working knowledge of programming languages, including Python, SQL, PowerShell, PySpark, Spark SQL. Good working knowledge of data warehouse and data mart architectures. Good experience in Data Governance, including Unity Catalog, Metadata Management, Data Lineage More ❯

various departments to gather requirements and ensure data solutions reflect real business needs. Key Experience Required: Deep expertise in SQL, Python, and Spark (particularly PySpark) for building and testing end-to-end pipelines in that process both structured and semi-structured datasets. Experience mentoring peers and supporting team growth More ❯

experience as a Senior Data Engineer, with some experience mentoring others Excellent Python and SQL skills, with hands-on experience building pipelines in Spark (PySpark preferred) Experience with cloud platforms (AWS/Azure) Solid understanding of data architecture, modelling, and ETL/ELT pipelines Experience using tools like Databricks More ❯

experience as a Senior Data Engineer, with some experience mentoring others Excellent Python and SQL skills, with hands-on experience building pipelines in Spark (PySpark preferred) Experience with cloud platforms (AWS/Azure) Solid understanding of data architecture, modelling, and ETL/ELT pipelines Experience using tools like Databricks More ❯

Azure Databricks Azure Function Apps & Logic Apps Azure Stream Analytics Azure Resource Manager tools: Terraform, Azure Portal, Azure CLI, and Azure PowerShell Proficient in PySpark, Delta Lake, Unity Catalog, and Python Ability to write unit and integration tests using unittest, pytest, etc. Solid understanding of software engineering principles, including More ❯

Knowledge, Skills and Experience: Essentia l Strong expertise in Databricks and Apache Spark for data engineering and analytics. Proficient in SQL and Python/PySpark for data transformation and analysis. Experience in data lakehouse development and Delta Lake optimisation. Experience with ETL/ELT processes for integrating diverse data More ❯

to store and process data. Document workflows, pipelines, and transformation logic for transparency. Key Skills & Experience: Strong hands-on experience in Python (Pandas, NumPy, PySpark). Experience building ETL/ELT processes. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Snowflake, Databricks). Understanding of More ❯

added flexibility for diverse migration and integration projects. Prior experience with tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema or Snowflake Schema). Skilled in security frameworks More ❯

added flexibility for diverse migration and integration projects. Prior experience with tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema or Snowflake Schema). Skilled in security frameworks More ❯

A A B grades at A-level You have commercial Data Engineering experience working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas You have a good understanding of modern data engineering best practices Ideally you will also have experience with Azure and Data Bricks More ❯

performance Utilise Azure Databricks and adhere to code-based deployment practices Essential Skills: Over 3 years of experience with Databricks (including Lakehouse, Delta Lake, PySpark, Spark SQL) Strong proficiency in SQL with 5+ years of experience Extensive experience with Azure Data Factory Proficiency in Python programming Excellent stakeholder/ More ❯

Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What's in it for More ❯

Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What's in it for More ❯

environment with one or more modern programming languages and database querying languages Proficiency in coding one or more languages such as Java, Python or PySpark Experience in Cloud implementation with AWS Data Services, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Lambda, Step Functions, Event Bridge, ECS, Data De More ❯

Mesh. Knowledge of data migration projects, particularly large-scale migrations to distributed database platforms. Hands-on experience with big data processing technologies, including Spark (PySpark and SparkScala) and Apache Airflow. Expertise in distributed databases and computing environments. Familiarity with Enterprise Architecture methodologies, ideally TOGAF. Strong leadership experience, including managing More ❯

Lake, Synapse, Power BI) Required Skills & Experience Proven experience as a Data Architect in enterprise environments Extensive hands-on experience with Databricks (including SQL, PySpark, Delta Lake) Solid background in data warehousing , data lakes , and big data frameworks Strong knowledge of Azure cloud services , especially in data integration Experience More ❯

cloud-based architectures on AWS, Azure, or GCP A strong background in Databricks for building enterprise data warehouses with strong knowledge of SQL and Pyspark A deep understanding of data modelling and advanced pipeline development Knowledge and understanding of best practice CI/CD approaches utilising Git. Strategic Vision More ❯

Python, SQL, and big data technologies (Hadoop, Spark, NoSQL) Hands-on experience with cloud platforms (AWS, GCP, Azure) Proficiency in data processing frameworks like PySpark A problem-solver who thrives in a fast-paced environment Excellent communication skills to collaborate with technical and non-technical stakeholders Salary: Up to More ❯

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 More ❯

Experience working with structured and unstructured data (e.g., text, PDFs, images, call recordings, video) Proficiency in database and big data technologies including SQL, NoSQL, PySpark, Hive, etc. Cloud & AI Ecosystems Experience working with cloud platforms such as AWS, GCP, or Azure Understanding of API integration and deploying solutions in More ❯

Experience working with structured and unstructured data (e.g., text, PDFs, images, call recordings, video) Proficiency in database and big data technologies including SQL, NoSQL, PySpark, Hive, etc. Cloud & AI Ecosystems Experience working with cloud platforms such as AWS, GCP, or Azure Understanding of API integration and deploying solutions in More ❯

Experience working with structured and unstructured data (e.g., text, PDFs, images, call recordings, video) Proficiency in database and big data technologies including SQL, NoSQL, PySpark, Hive, etc. Cloud & AI Ecosystems Experience working with cloud platforms such as AWS, GCP, or Azure Understanding of API integration and deploying solutions in More ❯

s or PhD in a relevant field (e.g., Computer Science, Data Science, Engineering, Applied Mathematics, Statistics, etc.). Proficiency in Python, SQL, AWS, Airflow, PySpark, PyTorch, NumPy, and related data technologies. Experience with cloud infrastructure, data pipelines, and machine learning model deployment. Proven experience leading diverse teams of data More ❯

experience with data warehousing, ETL/ELT, integration tools, and BI solutions. Expertise with Synapse (notebooks and data flows) is essential. Working knowledge of PySpark is essential. Experience with Azure Data Lake Storage is essential. Understanding of medallion data lakehouse architecture is essential. Strong problem-solving skills for complex More ❯