At a Glance
- Tasks: Build and maintain data pipelines on the Databricks platform.
- Company: Dynamic company focused on data solutions in Weymouth.
- Benefits: 40% staff discount, private medical scheme, and extra leave on your birthday.
- Other info: Great opportunities for career growth and a supportive work environment.
- Why this job: Join a team that values collaboration and innovation in data engineering.
- Qualifications: 2+ years experience with Databricks, Spark, Python, and SQL.
The predicted salary is between 40000 - 50000 € per year.
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.
- Private pension scheme.
- 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.
Data Engineer (Weymouth based) employer: New Look
Join our dynamic team in Weymouth as a Data Engineer, where you'll play a crucial role in building and maintaining efficient data pipelines on the Databricks platform. We pride ourselves on a supportive work culture that fosters collaboration and innovation, offering generous benefits such as a 40% staff discount, private medical scheme, and opportunities for professional growth. With a focus on employee well-being, including enhanced leave options and a commitment to sustainability, we provide a rewarding environment for those looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Weymouth based)
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or other platforms. A friendly chat can give you insider info and might even lead to a referral, which can boost your chances of landing that Data Engineer role.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your experience with Databricks, Spark, Python, and SQL. This hands-on demonstration can really impress during interviews and show that you're ready to hit the ground running.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data engineering and be ready to discuss your past projects. Mock interviews with friends or using online platforms can help you refine your answers and boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows your enthusiasm for the role and the company. Don’t forget to follow up after applying – a little nudge can go a long way!
We think you need these skills to ace Data Engineer (Weymouth based)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Databricks and Spark. We want to see how your skills in Python and SQL shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for the Data Engineer role. Share your passion for data engineering and how you’ve collaborated with teams in the past to deliver results.
Showcase Your Documentation Skills:Since we value clear records of data processes, include examples of how you've maintained documentation in previous roles. This will demonstrate your attention to detail and commitment to data quality.
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 all the perks we offer, like our staff discounts and healthcare options!
How to prepare for a job interview at New Look
✨Know Your Tech
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 data transformation using Python and SQL. This is your chance to show off your technical skills!
✨Showcase Collaboration Skills
Since the role involves working closely with analysts and scientists, be prepared to share examples of how you've collaborated in the past. Highlight any projects where teamwork was key to delivering clean and consistent datasets.
✨Be Ready for Problem-Solving
Expect questions about how you handle errors in data pipeline runs. Think of specific instances where you resolved issues promptly and maintained data quality. This will demonstrate your proactive approach and reliability.
✨Documentation Matters
Don’t underestimate the importance of documentation! Be ready to discuss how you maintain clear records of data processes and transformations. This shows that you value transparency and can contribute to the team's efficiency.
