At a Glance
- Tasks: Build and maintain efficient ETL pipelines on the Databricks platform.
- Company: Join a feel-good fashion brand with over 55 years of making style accessible.
- Benefits: Enjoy a 40% staff discount, healthcare options, and extra leave on your birthday.
- Other info: Flexible working patterns and a strong focus on inclusion and development.
- Why this job: Make a real impact by delivering trusted data for innovative projects.
- Qualifications: 2+ years experience with Databricks, Python, and SQL.
The predicted salary is between 40000 - 50000 £ per year.
We’re the feel‑good fashion brand making style accessible and fun for over 55 years, on our website, mobile app and over 300 stores in the UK. By living our values – we play to win, customer obsessed, we are one and it starts with me – we deliver That New Look Feeling for our customers and each other.
THE ROLE
The Data Engineer role supports the delivery of reliable and efficient data pipelines on the Databricks platform. Collaborate with data engineers and analysts to ensure timely access to trusted data across the business.
WHAT YOU'LL BE DOING
- Data Engineering: Build and maintain ETL/ELT pipelines within Databricks.
- Monitoring: Ensure daily data pipeline runs are completed and errors resolved promptly.
- Documentation: Maintain clear records of data processes and transformations.
- Data Quality: Contribute to delivery of clean and consistent datasets.
- Collaboration: Support analysts and scientists in accessing the data they need.
WHO YOU ARE
- Experience working with Databricks and Spark (2+ years).
- Proficient in Python and SQL for data transformation.
- Familiarity with data orchestration and monitoring tools.
- Understanding of cloud data environments and version control.
- Strong documentation and collaboration skills.
WHATS IN IT FOR YOU
- 40% staff discount plus friends & family discounts throughout the year.
- Access to our reward platform for external discount and offers.
- Profit related bonus scheme.
- Option to join our Healthcare Private Medical Scheme.
- Virtual GP access for you and your children – it allows you to speak to a doctor at a time and date that suits you.
- All employees are covered by our life assurance policy from day one.
- Unlock extra leave with our buy more holiday scheme.
- Celebrate YOU! Enjoy an extra paid day off on your birthday each year.
- Enhanced maternity, paternity and adoption leave, and shared parental leave (eligible after 2 years service).
- Spread the cost of your commute with interest‑free season ticket loans.
- Do your bit for the environment and save money with our Cycle2Work scheme.
We're proud to partner with the Retail Trust and Fashion & Textile Children's Trust.
Why New Look?
We care about you and the planet and believe fashion should be a force for positive change. We celebrate inclusion and diversity in everything we do. We’re proud of our inclusive culture and our talented team members who embrace our shared purpose, behaviours and values. We prioritise development, offering training to support your progression, so you can be your absolute best and achieve your goals. We pride ourselves on being a flexible employer, our colleagues work a range of patterns. If you have a specific pattern in mind, we’re keen to discuss this with you in line with the output needed for the role.
Databricks Data Engineer — Build Efficient ETL Pipelines in Weymouth employer: New Look
At New Look, we are not just a fashion brand; we are a community that values inclusivity, personal growth, and environmental responsibility. As a Data Engineer, you will thrive in a supportive work culture that prioritises collaboration and innovation, while enjoying fantastic benefits such as a generous staff discount, flexible working patterns, and opportunities for professional development. Join us in making fashion accessible and fun, while contributing to a positive impact on our customers and the planet.
StudySmarter Expert Advice🤫
We think this is how you could land Databricks Data Engineer — Build Efficient ETL Pipelines in Weymouth
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience with Databricks and Python – showcase it! Create a portfolio of projects or GitHub repositories that demonstrate your ability to build ETL pipelines. This will give you an edge over other candidates.
✨Ace the Interview
Prepare for those technical interviews by brushing up on your SQL and data orchestration knowledge. Practice common interview questions and be ready to discuss how you've tackled challenges in past projects. Confidence is key!
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Databricks Data Engineer — Build Efficient ETL Pipelines in Weymouth
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your experience with Databricks, Python, and SQL, as these are key for the Data Engineer role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you align with our values. Show us your personality and enthusiasm for the role!
Showcase Your Projects:If you've worked on any relevant projects, especially involving ETL pipelines or data quality, make sure to mention them. We love seeing real examples of your work!
Apply Through Our Website:For the best chance of success, apply directly through our website. It’s the easiest way for us to see your application and get you into the process quickly!
How to prepare for a job interview at New Look
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks and Spark knowledge. Be ready to discuss your experience with building ETL/ELT pipelines and how you've tackled challenges in the past. This will show that you're not just familiar with the tools, but that you can use them effectively.
✨Showcase Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a problem or explain how you've used these languages for data transformation. Practising some coding challenges beforehand can really help you feel confident.
✨Emphasise Collaboration
Since the role involves working closely with analysts and scientists, be ready to share examples of how you've collaborated in previous roles. Highlight your communication skills and how you ensure everyone has access to the data they need. This will show that you’re a team player who values collaboration.
✨Be Ready to Discuss Data Quality
Data quality is key in this role, so think about how you've contributed to maintaining clean and consistent datasets. Prepare to discuss any monitoring tools you've used and how you've resolved data issues in the past. This will demonstrate your commitment to delivering reliable data solutions.
