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- Tasks: Design and manage data solutions while mentoring a dynamic team.
- Company: Expanding SaaS product company with a focus on innovation.
- Benefits: Competitive salary, flexible home working, and professional development opportunities.
- Why this job: Join a collaborative team and make a real impact in data engineering.
- Qualifications: Strong knowledge of data modelling, Databricks, and agile methodologies.
- Other info: Work from home with just one office day a month.
The predicted salary is between 60000 - 70000 £ per year.
Location: Nottingham (home based, one day a month at the office)
Salary: £60,000 - £70,000 + benefits
Job overview: We are an expanding SaaS product company looking for Senior Data Engineers to design, create, deploy and manage the company's data assets. You will influence the data engineering team and produce high-performance, clean code in an agile environment.
Key Responsibilities
- 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 BAs to understand the data needs of the business.
Required Skills and Experience
- Very strong knowledge of data modelling, data engineering and data design.
- 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.
- Good experience working in an Agile environment.
To apply, please submit your CV for a brief. Interviews are scheduled soon.
Senior Data Engineer, Databricks, Data Modelling, Home Based in Manchester employer: Blacklist Ratings
Contact Detail:
Blacklist Ratings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer, Databricks, Data Modelling, Home Based in Manchester
✨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 a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and projects. This is your chance to demonstrate your expertise in data engineering and how you can contribute to the team.
✨Tip Number 3
Prepare for the interview by brushing up on agile methodologies and data integration processes. Be ready to discuss how you've tackled complex business problems in the past and how you can bring that experience to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Engineer, Databricks, Data Modelling, Home Based in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with data modelling, Databricks, and any relevant projects that showcase your skills. We want to see how you fit into our team!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work that illustrate your expertise in data engineering and agile environments. This helps us understand what you can bring to the table.
Keep It Clear and Concise: We appreciate clarity! Make sure your application is easy to read and straight to the point. Avoid jargon unless it’s relevant to the role. We want to get to know you without wading through unnecessary fluff.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It streamlines the process for us and ensures your application lands in the right hands. We can’t wait to hear from you!
How to prepare for a job interview at Blacklist Ratings
✨Know Your Data Inside Out
Make sure you brush up on your data modelling and engineering skills. Be ready to discuss specific projects where you've designed or optimised data solutions, especially using Databricks. This will show that you not only understand the theory but can apply it in real-world scenarios.
✨Showcase Your Agile Experience
Since the role involves working in an agile environment, be prepared to share examples of how you've contributed to agile teams. Talk about your experience with the SDLC and how you've handled testing and delivery. This will demonstrate your adaptability and teamwork skills.
✨Prepare for Technical Questions
Expect some technical questions around ETL processes, data warehousing, and data lakes. Brush up on your SQL skills and be ready to solve problems on the spot. Practising common interview questions related to these topics can give you a solid edge.
✨Be Ready to Mentor
The job involves mentoring and coaching other team members. Think of examples where you've helped others grow their skills. This shows that you're not just a strong individual contributor but also a team player who values knowledge sharing.
