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- Tasks: Design and implement scalable data pipelines using BigQuery and GCP tools.
- Company: Join a fast-moving team building high-performance data infrastructure on Google Cloud Platform.
- Benefits: Enjoy remote work flexibility and competitive pay up to £550 per day.
- Why this job: Lead impactful projects, collaborate across teams, and mentor junior engineers in a dynamic environment.
- Qualifications: Strong SQL skills, experience with BigQuery and GCP, and a collaborative mindset required.
- Other info: This is a 6-12 month contract, outside IR35, for UK-based applicants only.
The predicted salary is between 39600 - 66000 £ per year.
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!
Freelance Data Engineer employer: trg.recruitment
Contact Detail:
trg.recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Freelance Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, especially BigQuery and GCP services like Dataflow and Pub/Sub. Having hands-on experience or projects that showcase your skills with these technologies will make you stand out.
✨Tip Number 2
Highlight any previous experience you have with designing and optimising ETL/ELT workflows. Be prepared to discuss specific challenges you've faced and how you overcame them, as this will demonstrate your problem-solving abilities.
✨Tip Number 3
Showcase your collaborative mindset by preparing examples of how you've worked with cross-functional teams in the past. This could include working with analysts or product teams, which is crucial for this role.
✨Tip Number 4
If you have experience mentoring junior engineers, be sure to mention it. This role values fostering a strong engineering culture, so demonstrating your leadership skills can give you an edge.
We think you need these skills to ace Freelance Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, BigQuery, and GCP tools. Include specific projects where you've designed scalable data pipelines or optimised database performance.
Craft a Strong Cover Letter: In your cover letter, emphasise your collaborative mindset and mentoring experience. Mention how you can contribute to the team and support both data and product teams effectively.
Showcase Relevant Projects: If you have worked on relevant projects, describe them in your application. Focus on your role in developing ETL/ELT workflows and any performance challenges you successfully solved.
Highlight Communication Skills: Since collaboration is key for this role, make sure to mention your solid communication skills. Provide examples of how you've worked with analysts, scientists, and engineers in the past.
How to prepare for a job interview at trg.recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with BigQuery, SQL, and GCP tools in detail. Bring examples of past projects where you've designed scalable data pipelines or optimised database performance, as this will demonstrate your hands-on expertise.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your ability to tackle performance challenges in cloud environments. Prepare to share specific instances where you've successfully solved complex data issues, highlighting your analytical thinking and technical skills.
✨Emphasise Collaboration and Communication
Since the role involves working closely with analysts, scientists, and engineers, be ready to discuss how you’ve collaborated in previous roles. Share examples of how you’ve communicated technical concepts to non-technical team members or mentored junior engineers.
✨Prepare Questions for the Interviewers
Having insightful questions ready shows your genuine interest in the role and the company. Ask about their current data challenges, team dynamics, or future projects involving GCP, which can also help you gauge if the company is the right fit for you.
