Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and maintain data pipelines to ensure quality and performance.
- Company: Leading consulting firm with a focus on inclusivity and professional growth.
- Benefits: Competitive salary, benefits, and hybrid work options.
- Why this job: Join a team delivering impactful insights through innovative data engineering.
- Qualifications: Strong experience with Databricks, SQL, Python, and a proactive mindset.
- Other info: Exciting opportunity for career development in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading consulting firm is seeking a Senior Data Engineer for their Swansea office. You will develop and maintain data pipelines, ensuring quality and performance. Strong experience with Databricks, SQL, Python, and a proactive mindset are essential. This hybrid position offers a competitive salary, benefits, and a commitment to inclusivity and professional development. Join a team dedicated to delivering impactful insights through data engineering.
Senior Data Engineer — Databricks & Data Pipelines Leader in Swansea employer: Women In Tech
Contact Detail:
Women In Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Databricks & Data Pipelines Leader in Swansea
✨Tip Number 1
Network like a pro! Reach out to current employees at the firm on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your work with Databricks, SQL, and Python. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on data pipeline concepts and coding challenges. We can even set up mock interviews to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to match what they’re looking for.
We think you need these skills to ace Senior Data Engineer — Databricks & Data Pipelines Leader in Swansea
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, SQL, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Show Off Your Proactive Mindset: In your application, give examples of how you've taken initiative in past roles. We value a proactive approach, so share instances where you’ve improved processes or solved problems creatively.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Women In Tech
✨Know Your Tech Inside Out
Make sure you brush up on your Databricks, SQL, and Python skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've developed and maintained data pipelines in the past. Highlight your proactive mindset by discussing how you identified issues before they became problems and the steps you took to resolve them.
✨Understand the Company Culture
Research the consulting firm’s values and commitment to inclusivity and professional development. Be ready to explain how your personal values align with theirs and how you can contribute to a positive team environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team dynamics. This shows your genuine interest in the position and helps you assess if it’s the right fit for you. Consider asking about their approach to data quality and performance.
