Job Description

We are partnered with a leading global consultancy that is searching for a contractor with the following skillset to work on a LONG-TERM contract within the ENERGY sector:

Role: Data Engineer (Spark, Kafka)

Location: Windsor

Style: Hybrid

Rate: up to £500 per day (inside IR35)

Duration: 6 months (initially – view to extend)

Key responsibilities:

* Design, implement, and manage Kafka-based data pipelines and messaging solutions to support critical business operations and enable real-time data processing.

* Configure, deploy, and maintain Kafka clusters, ensuring high availability and scalability to maximize uptime and support business growth.

* Monitor Kafka performance and troubleshoot issues to minimize downtime and ensure uninterrupted data flow, enhancing decision-making and operational efficiency.

* Collaborate with development teams to integrate Kafka into applications and services.

* Develop and maintain Kafka connectors such as JDBC, MongoDB, and S3 connectors, along with topics and schemas, to streamline data ingestion from databases,

* NoSQL data stores, and cloud storage, enabling faster data insights.

* Implement security measures to protect Kafka clusters and data streams, safeguarding sensitive information and maintaining regulatory compliance

Key Skills:

* Design, build, and maintain reliable, scalable data pipelines. Data Integration, Data Security and Compliance

* Monitor and manage the performance of data systems and troubleshoot issues.

* Strong knowledge of data engineering tools and technologies (e.g. SQL, ETL, data warehousing), Experience in tools like Azure ADF, Apache Kafka, Apache Spark SQL, Proficiency in programming languages such as Python, PySpark

* Good written and verbal communication skill

* Experience in managing business stakeholders for requirement clarification

If you are interested and have the relevant experience, please apply promptly and we will contact you to discuss it further.

Yilmaz Moore

Senior Delivery Consultant

London | Bristol | Amsterdam