11 of 11 Permanent Apache Spark Jobs in the South East

keep our business moving, bringing fresh thinking and technical flair to every challenge. Your voice will shape our data design principles, your ideas will spark conversation across engineering forums, and your expertise in analytics and operational processing will help unlock smarter, faster decision-making. Key Actions Work with Data … years’ experience across BI, data warehousing, data management, ETL and database technologies Strong hands-on experience building and optimising data pipelines using Python, SQL, Apache Spark, and Microsoft SSIS Proven ability to design, deliver and maintain scalable data solutions across data warehouses and Big Data Lakes, supporting both ...

What the role entails: Some of the main duties of the Data Engineer will include: Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design and implement ...

Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills ...

followed Required Skills & Experience: Strong experience with Azure data platform (e.g., Data Factory, Data Lake, Synapse) Hands-on expertise with Databricks (PySpark or Spark) Solid SQL development skills Experience working with Kafka for streaming data pipelines Good understanding of lakehouse architecture, including bronze/silver/gold layering concepts ...

influence within the team and communicate clearly with technical and non-technical stakeholders. Data Engineer (New Technology/Microsoft) Strong experience with Databricks (Spark, PySpark, Delta Lake, and Unity Catalog advantageous). Proficiency in Azure data services (Azure Data Factory, Data Lake, Azure Functions advantageous). Experience contributing … Engineer or Solutions Architect certification (desirable). Databricks Certified Data Engineer or Machine Learning Associate (desirable). Experience with streaming solutions (Kafka, Event Hubs, Spark Streaming) (desirable). Knowledge of machine learning and AI on Databricks (desirable). ...

influence within the team and communicate clearly with technical and non-technical stakeholders. Data Engineer (New Technology/Microsoft) Strong experience with Databricks (Spark, PySpark, Delta Lake, and Unity Catalog advantageous). Proficiency in Azure data services (Azure Data Factory, Data Lake, Azure Functions advantageous). Experience contributing … Engineer or Solutions Architect certification (desirable). Databricks Certified Data Engineer or Machine Learning Associate (desirable). Experience with streaming solutions (Kafka, Event Hubs, Spark Streaming) (desirable). Knowledge of machine learning and AI on Databricks (desirable). Benefits of working at Canada Life We believe in recognising ...

Kubernetes Strong Git-based development workflows Experience delivering features end-to-end in distributed teams Confident troubleshooting production issues in real time Desirable Skills Apache Spark (EMR) & Delta Lake PostgreSQL (Aurora) CI/CD using GitHub Actions IaC (Helm, CloudFormation) Monitoring tools (Sentry) Role Responsibilities … React frontend Build and maintain Dockerised microservices deployed to AWS (EKS) Troubleshoot and optimise performance across the stack Support data ingestion and transformation pipelines (Spark-based) Work cross-functionally with product and data specialists Help shape new features and influence engineering standards This role is 100% hands-on engineering ...

with Git, Python, and Ansible Familiarity with containers (Docker, Kubernetes, LXC) Experience with monitoring tools and SQL databases Exposure to big data systems (e.g., Spark, HDFS, Airflow) Summary A great opportunity for someone who enjoys solving complex infrastructure challenges, automating systems, and working closely with engineering teams. Spectrum ...

team Exposure to sectors such as defence, public sector and consumer/retail Familiarity with modern data and AI tooling such as Python, Spark, Databricks, Azure cloud, and Generative AI platforms (experience with specific tools is helpful but not essential) A mix of technical, product and operational experience - comfortable ...

candidates with experience of one or more of the major cloud platforms. AWS, Azure and GCP depending on the project Databricks, Snowflake and Synapse Spark and distributed processing frameworks for large-scale data Streaming technologies such as Kafka or Kinesis You're expected to pick the right tools ...

scalable data pipelines and solutions. From a technical standpoint you will ideally possess: Proven experience with databricks Proficiency in programming languages such as Python, Spark, SQL. Strong experience with SQL databases. Expertise in data pipeline and workflow management tools (e.g., Apache Airflow, ADF). Experience with cloud platforms … Azure preferred) and related data services. Knowledge of big data technologies (e.g., Hadoop, Spark, Kafka). Experience of Waterfall and Agile delivery methodologies Contact: Please apply via the link or contact (url removed) for more information. Modis International Ltd acts as an employment agency for permanent recruitment ...