At a Glance
- Tasks: Design and manage data solutions using Databricks and SQL for optimal performance.
- Company: Expanding SaaS product company with a focus on data infrastructure.
- Benefits: Competitive salary, flexible home-based work, and great career growth opportunities.
- Why this job: Join a dynamic team and make an impact in the data engineering field.
- Qualifications: Experience with Databricks, SQL, and agile methodologies required.
- Other info: Collaborate with Data Scientists and Engineers in a supportive environment.
The predicted salary is between 36000 - 60000 Β£ per year.
Data Engineer, Databricks, Β£45,000 - 50,000 + benefits. Home-based with one day a month at the office in Nottingham. Requires strong commercial knowledge of Databricks and performant SQL. Knowledge of testing, the finance sector or energy sector is advantageous.
Expanding SaaS product company are looking for a number of Data Engineers to join and grow the team. In these hands-on roles you will be responsible for designing, creating, deploying and managing the company's data assets and you will guide and influence other members of the data engineering team with the goal of delivering high quality, clean, and high-performing code.
Responsibilities- Help design data solutions based on optimal performance, scalability and reliability.
- Help create, optimise and maintain logical and physical data models, including data warehouses and data lakes.
- Help design and manage the data integration process.
- Contribute as a member of the agile team.
- Work closely with Data Scientists, Data Engineers and BAs to understand the data needs of the business.
- Previous experience as a Data Engineer in a delivery-focused environment.
- Excellent knowledge of Databricks and Performant SQL.
- Experience analysing 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.
If you have the required skills and experience please send your CV for a full brief.
Databricks Data Engineer, Home Based in Manchester employer: Blacklist Ratings
Contact Detail:
Blacklist Ratings Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Databricks Data Engineer, Home Based in Manchester
β¨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 that aren't even advertised yet.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving SQL and Databricks. This gives potential employers a taste of what you can do and sets you apart from the crowd.
β¨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you'd tackle real-world problems, especially in finance or energy sectors. We want to see your thought process and problem-solving skills in action!
β¨Tip Number 4
Don't forget to apply through our website! Itβs the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Databricks Data Engineer, Home Based in Manchester
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience with Databricks and performant SQL. We want to see how your skills align with the role, so donβt 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 youβre passionate about data engineering and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled business problems with technical solutions. We love seeing candidates who can think critically and creatively, especially in an agile environment!
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for the role. Plus, itβs super easy!
How to prepare for a job interview at Blacklist Ratings
β¨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss specific features, functionalities, and how you've used them in past projects. This will show that you're not just familiar with the tool but can leverage it effectively.
β¨Showcase Your SQL Skills
Prepare to demonstrate your SQL prowess during the interview. You might be asked to solve a problem or optimise a query on the spot. Practising common SQL challenges can help you feel more confident and ready to impress.
β¨Understand the Business Context
Since the role involves working closely with Data Scientists and BAs, it's crucial to understand the business problems they face. Research the finance or energy sectors if you have experience there, and think about how your technical skills can provide solutions.
β¨Be Agile and Adaptable
Familiarise yourself with Agile methodologies, as this role requires collaboration within an agile team. Be prepared to discuss how you've adapted to changes in project requirements and how you contribute to team dynamics.