11 Permanent PySpark Jobs in London with Remote Work Options

can offer you exposure to the latest technologies. We are looking for a senior Data Engineer who has solid Python skills as well as Pyspark, DataBricks and SQL, as well as Data Modeling, and Azure Data Factors . Azure Devops would be a distinct advantage. Strong communication and business more »

GitHub for version control, you will champion DevOps practices to ensure seamless collaboration and automation across the data engineering lifecycle. Your proficiency in SQL, PySpark, and Python will be helpful in transforming raw data into valuable insights, while your familiarity with Kafka will enable real-time data processing capabilities. … responsibilities: Lead the design, development, and maintenance of Azure-based data pipelines and analytical solutions using Databricks, Synapse, and other relevant services. Leverage SQL, PySpark, and Python to perform data transformations, aggregations, and analysis on large datasets. Architect data storage solutions using Azure SQL Database, Azure Data Lake Storage more »

and ensuring best practices and understood and followed. Technical Skills and Qualifications Expert knowledge in python including libraries/frameworks such as pandas, numpy, pyspark Good understanding of OOP, software design patterns, and SOLID principles Good experience in Docker Good experience in Linux Good experience in Airflow Good knowledge more »

Senior Data Engineer Remote working Salary £65,000 - £70,000 plus benefits DataBricks, PySpark, SQL We are looking for a talented Senior Data Engineer to join one of the UK's leading research and law ranking companies at an exciting time of growth. Build new products, engineer new solutions more »

designing and constructing robust data pipelines using the best of open-source data engineering and scientific Python toolset. Tech Stack: Airbyte AWS Glue Pandas Pyspark Delta Lake PostgreSQL The team follows agile ways of working and you engage with various stakeholders across the business. The role is Hybrid more »

candidate needs experience and confidence to speak up when several teams can be involved in delivering the project. There is a massive emphasis on Pyspark and Databricks for this particular role. Technical Skills Required: Azure (ADF, Functions, Blob Storage, Data Lake Storage, Azure Data Bricks) Databricks Spark Delta Lake … SQL Python PySpark ADLS Day To Day Responsibilities: Extensive experience in designing, developing, and managing end-to-end data pipelines, ETL (Extract, Transform, Load), and ELT (Extract, Load, Transform) solutions. Maintains a proactive approach to staying updated with emerging technologies and a strong desire to continuously learn and adapt more »

scientific Python toolset. Our tech stack includes Airbyte for data ingestion, Prefect for pipeline orchestration, AWS Glue for managed ETL, along with Pandas and PySpark for pipeline logic implementation. We utilize Delta Lake and PostgreSQL for data storage, emphasizing the importance of data integrity and version control in our … testing frameworks. Proficiency in Python and familiarity with modern software engineering practices, including 12factor, CI/CD, and Agile methodologies. Deep understanding of Spark (PySpark), Python (Pandas), orchestration software (e.g. Airflow, Prefect) and databases, data lakes and data warehouses. Experience with cloud technologies, particularly AWS Cloud services, with a more »

come with scaling a company • The ability to translate complex and sometimes ambiguous business requirements into clean and maintainable data pipelines • Excellent knowledge of PySpark, Python and SQL fundamentals • Experience in contributing to complex shared repositories. What’s nice to have: • Prior early-stage B2B SaaS experience involving client more »

building a massively distributed cloud-hosted data platform that would be used by the entire firm. Tech Stack: Python/Java, Dremio, Snowflake, Iceberg, PySpark, Glue, EMR, dbt and Airflow/Dagster. Cloud: AWS, Lambdas, ECS services This role would focus on various areas of Data Engineering including: End more »

vision to convert data requirements into logical models and physical solutions. with data warehousing solutions (e.g. Snowflake) and data lake architecture, Azure Databricks/Pyspark & ADF. retail data model standards - ADRM. communication skills, organisational and time management skills. to innovate, support change and problem solve. attitude, with the ability more »

continual improvement of their performance. REQUIRED SKILLS AND EXPERIENCE Proficiency in Python, including its associated data and machine learning packages such as numpy, pandas, pyspark, matplotlib, scikit-learn, Keras, TensorFlow, and more. Experience working with object-oriented programming languages. Experience in Forecasting and propensity. Expertise in utilizing SQL for more »