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- Tasks: Design and build robust data pipelines for top tech clients.
- Company: Exciting consultancy known for high-profile consumer applications.
- Benefits: Competitive day rate, flexible work, and a dynamic team environment.
- Why this job: Join a leading consultancy and make an impact with cloud-native data solutions.
- Qualifications: Strong Python and SQL skills, plus experience with cloud data services.
- Other info: 3-month contract with potential for growth in a diverse workplace.
The predicted salary is between 40000 - 60000 £ per year.
Senior Data Engineer – Contract | Edinburgh (2 days onsite)
Take the next step in your career now, scroll down to read the full role description and make your application.
£500/day (Likely Outside IR35)
3 months initially
Bright Purple is delighted to be working with an exciting, product-focused consultancy delivering some of the UK’s most high-profile and widely used consumer applications. Their client list features some of the biggest names in tech and beyond.
We’re seeking an experienced Senior Data Engineer to join their growing Data Practice on a 3-month engagement, helping shape and deliver scalable, cloud-native data solutions for household-name clients.
What you’ll be doing
Designing, building and maintaining robust data pipelines
Automating and orchestrating workflows (AWS Glue, Azure Data Factory, GCP Dataflow)
Working across leading cloud platforms (AWS, Azure, or GCP)
Implementing and optimising modern data architectures (e.g. Databricks, Snowflake)
Collaborating with multidisciplinary teams to deliver real business value
What we’re looking for
Strong experience with Python, SQL, and pipeline tools such as dbt or Airflow
Proven background in data modelling, warehousing, and performance optimisation
Hands-on experience with cloud data services (Glue, Lambda, Synapse, BigQuery, etc.)
A consultancy mindset – adaptable, collaborative, and delivery-focused
The details
Location: Edinburgh – 2 days onsite per week
Duration: 3 months initially
Day Rate: c.£500/day
IR35: Likely Outside (pending confirmation)
Apply now or contact Bright Purple to find out more about this opportunity with one of the UK’s most dynamic digital consultancies.
Bright Purple is proud to be an equal opportunities employer. We partner with clients who value and actively promote diversity and inclusion across the technology sector
Senior Data Engineer employer: Bright Purple
Contact Detail:
Bright Purple Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that Senior Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving cloud platforms like AWS or Azure. We want to see your hands-on experience with tools like dbt or Airflow, so make sure to highlight those in conversations.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining your past projects and how you’ve collaborated with teams. We’re all about that consultancy mindset, so be ready to demonstrate your adaptability and delivery focus.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our growing Data Practice, so take that leap and submit your application today!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Python, SQL, and cloud platforms like AWS or Azure. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this consultancy role. Share specific examples of your past projects that demonstrate your data engineering expertise.
Showcase Your Consultancy Mindset: We love candidates who are adaptable and collaborative. In your application, mention experiences where you've worked in teams or adapted to changing requirements. This will show us you have the right mindset for our dynamic environment.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at Bright Purple
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, and cloud platforms. Brush up on your knowledge of AWS Glue, Azure Data Factory, and GCP Dataflow, as these will likely come up during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've designed and built data pipelines or optimised data architectures. Be ready to explain your role, the challenges you faced, and how you delivered real business value through your work.
✨Demonstrate Your Consultancy Mindset
Since the role requires a consultancy mindset, think about examples that showcase your adaptability and collaboration skills. Highlight experiences where you worked with multidisciplinary teams to achieve a common goal.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data practices and the specific challenges they face. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
