📍 Location: Remote-first (UK-based)
💰 Rate: Up to £550 p/d
📆 Contract: 6 - 12 months (Outside IR35)
🛠 Tech Stack: BigQuery, SQL, GCP (Dataflow, Cloud Storage, Pub/Sub), ETL/ELT, Python
We’re working with a fast-moving team that’s building high-performance data infrastructure on Google Cloud Platform. They’re looking for a Senior Data Engineer to help design, implement, and optimise scalable pipelines while supporting both data and product teams with reliable, secure, and efficient systems.
If you enjoy working with large-scale datasets and solving performance challenges in cloud environments, this is a great opportunity to lead with impact and collaborate across teams.
What You’ll Be Doing:
🔹 Designing and implementing scalable data pipelines using BigQuery and other GCP tools
🔹 Developing and maintaining ETL/ELT workflows for transforming and aggregating data
🔹 Optimising database performance for cost-effective, efficient querying
🔹 Collaborating with analysts, scientists, and engineers on analytics and product use cases
🔹 Automating workflows and monitoring pipeline performance
🔹 Mentoring junior engineers and fostering a strong engineering culture
What You Need:
✔ Strong SQL skills and experience with large-scale datasets
✔ Hands-on experience with BigQuery and GCP tools like Dataflow, Cloud Storage, and Pub/Sub
✔ Deep knowledge of query optimisation and performance tuning
✔ Proven experience with ETL/ELT design and data modelling best practices
✔ A collaborative mindset and solid communication skills
✔ Ability to mentor and guide junior team members
This is an outside IR35 contract, so you must be UK-based. Interested? Click Apply or get in touch with Ionut Roghina for more details!