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- Tasks: Design and manage data solutions while mentoring a dynamic team.
- Company: Expanding SaaS product company with a focus on data innovation.
- Benefits: Competitive salary, flexible home working, and professional development opportunities.
- Why this job: Join a growing team and make an impact in the data engineering field.
- Qualifications: Strong experience with Databricks and SQL, plus a passion for problem-solving.
- Other info: Work remotely with just one office day per month in Nottingham.
The predicted salary is between 60000 - 65000 £ per year.
Senior Data Engineer, Databricks, £60000 – 65000 + benefits. Strong Performant SQL and Databricks required. Home Based with one day a month at the office in Nottingham.
Strong commercial knowledge of Databricks and Performant SQL is required for this role. Knowledge of testing, the finance sector or energy sector is a distinct advantage.
Expanding SaaS product company are looking for a number of Senior Data Engineers as they continue to grow. In these hands-on roles you will be part of the team responsible for designing, creating, deploying and managing the companies data assets and you will guide and influence other members of the data engineering team with the ultimate goal of writing excellent quality, clean and high performant code.
Responsibilities Include –
- Work with the Data Architects and Data team to determine technical delivery and functionality.
- Design data solutions based on optimal performance, scalability and reliability.
- Create, optimise and maintain logical and physical data models, including data warehouses and data lakes.
- Design and manage the data integration process.
- Work with the team to improve their skills and knowledge (mentoring, training coaching, etc)
- Contribute as a member of the agile team.
- Work closely with Data Scientists, Data Engineers and BA\’s to understand the data needs of the business.
Skills Required Include –
- Previous experience as Data Engineer in a delivery focused environment.
- Excellent knowledge of Databricks and Performant SQL.
- Experience analysing complex business problems and designing workable technical solutions.
- Excellent knowledge of the SDLC, including testing and delivery in an agile environment.
- Excellent knowledge of ETL
- Experience of data warehousing and data lake solutions.
- Experience working in an Agile environment.
This is an excellent opportunity to join a company as it continues to grow and expand its data team. In these roles you will use your technical skills and soft skills/ people skills allowing the data team to further develop. Strong, hands-on databricks and Performant SQL are mandatory for this role.
This role is home based with one day a month at their office in Nottingham. Salary is in the range £60000 – 65000 + benefits depending on whether you are suitable for the Senior or Mid Level role.
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Senior Data Engineer, Databicks, Home Based employer: Blacklist Ratings
Contact Detail:
Blacklist Ratings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer, Databicks, Home Based
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects involving SQL and Databricks. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you’d tackle performance issues or design data solutions. Practising these will help you feel confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Senior Data Engineers. Your next big opportunity could be just a click away, so make sure to check it out!
We think you need these skills to ace Senior Data Engineer, Databicks, Home Based
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks and Performant SQL. We want to see how your skills match the job description, 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 excited about this role and how your background makes you a perfect fit. We love seeing passion and personality, so let that come through!
Showcase Your Problem-Solving Skills: In your application, mention specific examples where you've tackled complex business problems. We’re looking for candidates who can design effective technical solutions, so share those success stories!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Blacklist Ratings
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss how you've used it in past projects, focusing on performance optimisation and scalability. They’ll want to see that you can not only use Databricks but also understand its intricacies.
✨Showcase Your SQL Skills
Prepare to demonstrate your strong SQL skills during the interview. You might be asked to solve a problem or optimise a query on the spot, so practice writing performant SQL queries beforehand. Highlight any complex business problems you've solved using SQL in your previous roles.
✨Understand the Business Context
Since this role involves working closely with Data Scientists and BAs, it’s crucial to understand the business needs behind the data. Research the finance or energy sectors if you have experience there, and be ready to discuss how your technical solutions can drive business value.
✨Be Ready to Mentor
This position involves guiding other team members, so be prepared to talk about your mentoring experiences. Share examples of how you've helped others improve their skills or how you've contributed to a collaborative team environment. They’ll appreciate your soft skills just as much as your technical expertise.
