2 of 2 Data Engineer Jobs in Basingstoke

Data Engineer - Azure Databricks , Apache Kafka Permanent Basingstoke (Hybrid - x2 PW) Circa £70,000 + Excellent Package Overview We're looking for a skilled Data Analytics Engineer to help drive the evolution of our clients data platform. This role is ideal for someone who thrives on building scalable data solutions and is confident working … with modern tools such as Azure Databricks , Apache Kafka , and Spark . In this role, you'll play a key part in designing, delivering, and optimising data pipelines and architectures. Your focus will be on enabling robust data ingestion and transformation to support both operational and analytical use cases. If you're passionate about data engineering and … want to make a meaningful impact in a collaborative, fast-paced environment, we want to hear from you !! Role and Responsibilities Designing and building scalable data pipelines using Apache Spark in Azure Databricks Developing real-time and batch data ingestion workflows, ideally using Apache Kafka Collaborating with data scientists, analysts, and business stakeholders to build high-quality More ❯

Full-time, Permanent Basingstoke (Hybrid) £65,000 - £75,000 Reassured are looking for a Data Analytics Engineer to help us unlock the power of data across the business. If you're passionate about turning raw data into actionable insights and building robust data pipelines, this is your chance to make a real impact in a … fast-paced, collaborative environment. As a Data Analytics Engineer, you’ll be at the heart of our data platform: designing and delivering scalable solutions using Kafka for data ingestion, Databricks for ETL , modelling data for Power BI, and working closely with stakeholders to create products that drive smarter decisions. You’ll play a key role … in shaping our Lakehouse architecture. What you'll be doing: Building and optimising data ingestion pipelines using Apache Spark (ideally in Azure Databricks) Designing semantic models and dashboards for business insights Collaborating across teams to understand requirements and deliver fit-for-purpose data products Supporting the productionisation of ML pipelines Working in an Agile/DevOps environment to More ❯