1 to 25 of 69 Apache Spark Jobs in the UK excluding London

deliver reliable, high-performance data solutions using Databricks and modern cloud technologies. Key Responsibilities Design, develop, and maintain scalable data pipelines using Databricks, Apache Spark, and Delta Lake Build and optimize ETL/ELT workflows for batch and streaming data Develop data models to support analytics, reporting … data pipelines, architectures, and best practices Required Qualifications 3+ years of experience in data engineering or a similar role Strong experience with Databricks and Apache Spark Proficiency in Python and SQL Experience with Delta Lake, data modeling, and performance tuning Hands-on experience with cloud platforms (AWS, Azure ...

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 ...

development Backend development using Java and/or Scala Frontend development with Angular or similar JavaScript frameworks Experience with distributed compute technologies, such as: Apache Spark Databricks Apache Beam (or similar) Solid experience with Azure cloud technologies Database experience with cloud and relational databases, e.g. Snowflake, Sybase ...

experience in cloud-based data services. Proficiency in SQL and Python for data manipulation and transformation. Experience with modern data engineering tools, including Apache Spark, Kafka, and Airflow. Strong understanding of data modelling, schema design, and data warehousing concepts. Familiarity with data governance, privacy, and compliance frameworks (e.g. ...

requirements Excellent communication, problem-solving and documentation skills Desirable: Experience with cloud data platforms (AWS, Azure or GCP) Exposure to big data technologies (Hadoop, Spark, Kafka) Familiarity with ETL/orchestration tools (e.g. Informatica, Talend, Airflow) Experience with API integration and microservices data flows Familiarity with AI/ ...

Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt). Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability. Develop ...

Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt). Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability. Develop ...

share knowledge with team members. Required Qualifications Proven experience in designing and building data pipelines (ETL/ELT) using modern technologies (Python, SQL, Spark, Airflow, etc.). Strong analytical skills with the ability to interpret complex data and deliver business value. Experience integrating data from multiple sources and systems. ...

Seaborn) Ability to communicate complex analytical findings to diverse audiences Preferred Qualifications Experience with cloud platforms (AWS, GCP, Azure) Familiarity with big data technologies (Spark, Hadoop) Experience deploying models into production environments Knowledge of deep learning frameworks (TensorFlow, PyTorch) Experience working in Agile or cross-functional product teams ...

about other roles, please contact Nick Mandella at Harnham. KEYWORDS Python, SQL, AWS, GCP, Azure, Cloud, Databricks, Docker, Kubernetes, CI/CD, Terraform, Pyspark, Spark, Kafka, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance. ...

DataOps practices, including CI/CD, containerisation, and workflow orchestration Hands-on experience with ETL/ELT frameworks and big data tools (e.g. Spark, Airflow, Hive) Proficiency in programming languages such as Python, Java, and SQL Experience with SQL and NoSQL database design and optimisation Strong understanding of batch ...

leading and developing data engineering platforms. The ideal candidate will possess hands-on expertise in the following areas: 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 ...

sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong problem-solving skills and ability to work ...

sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong problem-solving skills and ability to work ...

sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong problem-solving skills and ability to work ...

data engineering, data platforms and big data technologies Evaluate and improved existing data processes Essential Experiences: Advanced SQL skills Proficient in Databricks, including Spark, Delta Lake and MLflow Experience migrating SSIS to Databricks In depth understanding of ETL/ELT processes Knowledge of data warehousing concepts and architectures Able ...

platforms such as AWS, Azure, or GCP. Exposure to modern data tools such as Snowflake, Databricks, or BigQuery. Familiarity with streaming technologies (e.g., Kafka, Spark Streaming, Flink) is an advantage. Experience with orchestration and infrastructure tools such as Airflow, dbt, Prefect, CI/CD pipelines, and Terraform. What ...

solutions while remaining hands-on. You should have: Proven experience building production-ready solutions on Google Cloud Expertise with batch and streaming frameworks like Apache Spark or Beam Strong understanding of data storage, pipeline patterns, and event-driven architectures Experience with CI/CD, version control, automated testing ...

ServiceNow Automation, Automation Anywhere, Camunda, or similar). Proven experience in AI/ML, data modeling, data lakes, event streaming, and analytics (e.g., Kafka, Spark, Python ML stack). Deep exposure to telecom protocols and domains Experience with cloud-native architectures (Azure/AWS/GCP), containerization, and DevSecOps ...

PostgreSQL, MySQL) Strong knowledge of data warehouse, data lake, and lakehouse architectures Experience with ETL/ELT frameworks and orchestration tools (e.g. Informatica, Talend, Apache Airflow) Proven experience establishing and maintaining data governance frameworks Strong understanding of data security, access controls, and compliance requirements Excellent problem-solving, communication …/ML data pipelines and analytics platforms Preferred Qualifications Experience with cloud data platforms (AWS, Azure, GCP) Experience with big data technologies (Hadoop, Spark, Kafka) Familiarity with UML/SysML Strong understanding of API integration and microservices data flows ...

Oracle, SQL Server, PostgreSQL, MySQL). Knowledge of data warehouse and lakehouse architectures. Familiarity with ETL/ELT and orchestration tools (e.g., Informatica, Talend, Apache Airflow). Experience establishing and maintaining data governance frameworks. Experience complying with data security requirements. Experience designing data models. Excellent problem-solving, communication … pipelines and analytics platforms. Preferred Qualifications: Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud). Experience with big data technologies (e.g., Hadoop, Spark, Kafka). Experience with UML/SYSML. Strong understanding of API integration and microservices data flow. If you have a strong background in data ...

organisation Supporting a move towards a product-aligned, hub-based operating model Technology Stack Cloud-first environment with Microsoft Azure Fabric Python, PyTorch SQL Apache Spark Azure Data Factory (ADF) Git What We’re Looking For 3–4 years’ experience in AI/ML engineering, data engineering ...