At a Glance
- Tasks: Lead offshore teams in Data Engineering, Analysis, and Modelling while ensuring quality outcomes.
- Company: Join a forward-thinking company that values innovation and teamwork.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with excellent career advancement potential.
- Why this job: Shape the future of data solutions and make a significant impact on projects.
- Qualifications: Experience in data management and strong leadership skills required.
The predicted salary is between 48000 - 72000 £ per year.
Lead and manage offshore teams covering Data Engineering, Data Analysis, and Data Modelling activities.
Provide technical direction, review deliverables, and ensure adherence to data architecture and engineering best practices.
Plan and allocate work across the offshore team, ensuring timely delivery and quality outcomes.
Design, develop, and oversee scalable data pipelines using PostgreSQL, Google BigQuery, and Google Cloud Spanner.
Ensure data ingestion, transformation, and storage solutions meet performance, reliability, and scalability requirements.
Guide optimization of SQL queries, partitioning strategies, indexing, and cost‑efficient data processing.
Data lead employer: Test Triangle
As an IoT Data Architect at our company, you will thrive in a dynamic and innovative environment that prioritises employee growth and collaboration. We offer competitive benefits, a supportive work culture, and opportunities to work on cutting-edge projects in regulated sectors, ensuring your contributions are both meaningful and impactful. Join us to be part of a team that values your expertise and fosters professional development in a location known for its vibrant tech community.
StudySmarter Expert Advice🤫
We think this is how you could land Data lead
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with data engineering and analysis. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines or any projects you've led. This gives potential employers a taste of what you can do and how you manage teams.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to PostgreSQL, Google BigQuery, and data architecture. We want you to feel confident discussing your experience and how you ensure quality outcomes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to get noticed and ensures your application lands directly in front of the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Data lead
Some tips for your application 🫡
Show Your Leadership Skills:When writing your application, make sure to highlight any experience you have in leading teams. We want to see how you've managed offshore teams or similar setups, so share specific examples that showcase your ability to guide and motivate others.
Be Technical, But Clear:Since the role involves technical direction, don’t shy away from using industry jargon. However, keep it clear and concise. We appreciate a good balance between technical detail and readability, so make sure your application reflects your expertise without overwhelming us with complexity.
Focus on Results:We love seeing tangible outcomes! In your application, mention specific projects where you’ve delivered quality results, especially in data engineering or analysis. Use metrics if you can – numbers speak volumes and help us understand the impact of your work.
Tailor Your Application:Make sure to customise your application for this role. Refer to the job description and align your skills and experiences with what we’re looking for. This shows us that you’ve done your homework and are genuinely interested in joining our team at StudySmarter.
How to prepare for a job interview at Test Triangle
✨Know Your Data Tools
Familiarise yourself with PostgreSQL, Google BigQuery, and Google Cloud Spanner. Be ready to discuss how you've used these tools in past projects, focusing on specific examples of data pipelines you've designed or optimised.
✨Showcase Leadership Skills
Prepare to talk about your experience leading offshore teams. Highlight how you’ve managed work allocation, ensured quality outcomes, and provided technical direction. Use concrete examples to illustrate your leadership style and effectiveness.
✨Understand Data Architecture Best Practices
Brush up on data architecture principles and best practices. Be prepared to discuss how you ensure adherence to these standards in your work, especially in relation to data ingestion, transformation, and storage solutions.
✨Optimisation Strategies Matter
Be ready to dive into the nitty-gritty of SQL query optimisation, partitioning strategies, and indexing. Share specific instances where your strategies led to improved performance or cost efficiency in data processing.
