4 of 4 Remote Contract Senior Data Engineer Jobs

Senior Data Engineer Rate: up to £450/day Outside IR35 Contract Length: 6 Months (with likely extension) Location: Hybrid - 1 day per week onsite in Central London Working hours: 9am - 5pm - Monday - Friday An established international organisation is seeking a Senior Data Engineer to join their growing Data & Middleware function, driving innovation … and excellence across complex data ecosystems. This is a fantastic opportunity to shape the future of a large-scale data transformation programme, working on high-impact projects that enable data-driven decision-making. Responsibilities for the Senior Data Engineer: Design, build, and maintain scalable data pipelines and architectures, ensuring reliability, performance, and best … in-class engineering standards Leverage Databricks, Spark, and modern cloud platforms (Azure/AWS) to deliver clean, high-quality data for analytics and operational insights Lead by example on engineering excellence, mentoring junior engineers and driving adoption of DevOps and CI/CD best practices within the data function Contribute to the evolution of a modern event-sourcing More ❯

Senior Data Engineer (Databricks) Location: London (Hybrid) Rate: Negotiable, depending on experience Duration: 6 months (initial)We’re looking for a Senior Data Engineer (Databricks) to join a world-leading energy organisation on a key transformation programme within their trading and supply division. This is an exciting opportunity to play a pivotal role in … building modern, scalable data solutions using Azure cloud technologies. The Role As a Senior Data Engineer, you’ll be responsible for designing and developing robust data foundations and end-to-end solutions that drive value across the business. You’ll help shape and embed data-driven thinking across both technical and business teams, ensuring … the organisation continues to lead with insight and innovation.You’ll act as a subject matter expert, guiding technical decisions, mentoring junior engineers, and ensuring data engineering best practices are consistently applied. Key Responsibilities Design and build data solutions aligned with business and IT strategy. Lead development of scalable data pipelines and models using Azure and Databricks. Support More ❯

Senior Data Engineer | 3-Month Contract (Possible Extension) | £550-£650p/day | Fully Remote | GCP, MongoDB, PostgreSQL | Start: Immediately About the Role On behalf of a leading healthcare technology company , we're looking for a Senior Data Engineer to join on an initial 3-month contract. This is an exciting opportunity to help shape … scalable, data-driven systems that support innovation in the healthcare sector. The focus is pure data engineering. You'll be building and optimising pipelines, coding solutions against live data, and ensuring performance at scale within a modern cloud-native environment. Key Responsibilities Design, build, and maintain data pipelines and architectures in Google Cloud Platform (GCP) . … from scratch , managing live/streaming data. Write, optimize, and tune PostgreSQL queries for large-scale workloads. Work with microservices, event-driven systems, and distributed architectures to support complex data flows. Collaborate with product, data science, and engineering teams to ensure data availability, quality, and performance. Key Skills & Experience Proven expertise in GCP data engineering tools More ❯

Senior Data Engineer – Contract (6 Months) Location: Galway (Hybrid/Remote considered) Want to help build the data foundation for one of Ireland’s most ambitious new cybersecurity companies? About the Company Our client, a leading cybersecurity company, is on a mission to redefine how Managed Service Providers deliver protection and resilience to their customers. Backed … s an exciting time to join a high-growth, innovation-led team shaping the next generation of cloud security solutions. What You’ll Do Design, build, and maintain scalable data pipelines and models using dbt and Snowflake . Develop automated workflows and ETL processes in Python to ensure high reliability and performance. Collaborate with analytics and engineering teams to … turn business needs into robust data solutions. Use AI and automation techniques for enrichment, anomaly detection, and predictive insights. Implement strong data governance, version control, and testing practices. Champion data quality, security, and continuous improvement across the team. Mentor junior engineers and help build a best-in-class data culture. What You’ll Bring Proven experience More ❯