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- Tasks: Lead the development of scalable data solutions and architect complex data pipelines.
- Company: Join the world's largest independent renewable energy company with a strong vision for zero carbon energy.
- Benefits: Enjoy flexible working, private healthcare, 25 days holiday, and opportunities for personal growth.
- Why this job: Make a real impact on global energy solutions while working with cutting-edge technologies.
- Qualifications: 5+ years in data engineering, expertise in Databricks, and strong Python/SQL skills.
- Other info: Dynamic team culture focused on continuous learning and professional development.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a Senior Data Engineer with advanced expertise in Databricks to lead the development of scalable data solutions across our asset performance management software, within our Digital Solutions business. This role involves architecting complex data pipelines, mentoring junior engineers, and driving best practices in data engineering and cloud analytics. You will play a key role in shaping our data strategy which is the backbone of our software and enabling high-impact analytics and machine learning initiatives.
Responsibilities
- Design and implement scalable, high-performance data pipelines.
- Work with the lead cloud architect on the design of data lakehouse solutions leveraging Delta Lake and Unity Catalog.
- Collaborate with cross-functional teams to define data requirements, governance standards, and integration strategies.
- Champion data quality, lineage, and observability through automated testing, monitoring, and documentation.
- Mentor and guide junior data engineers.
- Foster a culture of technical excellence and continuous learning.
- Drive the adoption of CI/CD and DevOps practices for data engineering workflows.
- Stay ahead of emerging technologies and Databricks platform updates, evaluating their relevance and impact.
- Deep understanding of distributed data processing, data lakehouse architecture, and cloud-native data platforms.
- Optimize data workflows for performance, reliability, and cost-efficiency on cloud platforms (particularly Azure but experience with AWS and/or GCP would be beneficial).
- Strong knowledge of data modelling, warehousing, and governance principles.
- Knowledge of data privacy and compliance standards (e.g., GDPR, HIPAA).
- Understanding of OLTP and OLAP and scenarios to deploy them.
- Understanding of incremental processing patterns.
Skills
- Strong proficiency in Python and SQL.
- Experience of working with Scala would be beneficial.
- Proven ability to design and optimize large-scale ETL/ELT pipelines.
- Building and managing orchestrations.
- Excellent oral and written communication, both within the team and with our stakeholders.
- 5+ years of experience in data engineering, with at least 2 years working extensively with Databricks and orchestrated pipelines such as DBT, DLT, or workflows using jobs.
- Experience with Delta Lake and Unity Catalog in production environments.
- Experience with CI/CD tools and version control systems (e.g., Git, GitHub Actions, Azure DevOps, Databricks Asset Bundles).
- Experience with Real Time data processing, both batch and streaming.
- Experience of working on machine learning workflows and integration with data pipelines.
- Experience leading data engineering projects with distributed teams, ideally in a cross-functional environment.
- Databricks Certified Data Engineer Professional or equivalent certification.
This is a 24 month fixed term contract.
Senior Data Engineer employer: RES Limited
Contact Detail:
RES Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at companies you're interested in. A friendly chat can lead to referrals, which are often the best way to get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Databricks. This gives potential employers a tangible look at 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 and challenges. Practice explaining your thought process and solutions clearly, as communication is key in collaborative environments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements in building scalable data solutions!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our mission. We love seeing enthusiasm and a clear understanding of our goals.
Showcase Your Projects: If you've worked on any relevant projects, especially those involving ETL/ELT pipelines or machine learning workflows, make sure to mention them. We’re keen to see real-world applications of your skills and how you’ve tackled challenges.
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 the role. Plus, it gives you a chance to explore more about our company culture!
How to prepare for a job interview at RES Limited
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your experience with Delta Lake and Unity Catalog, as well as how you've implemented scalable data pipelines in past projects. This will show that you're not just familiar with the tools, but that you can leverage them effectively.
✨Showcase Your Mentoring Skills
Since mentoring junior engineers is a key part of this role, think of specific examples where you've guided others in their development. Prepare to share how you foster a culture of technical excellence and continuous learning within your team. This will demonstrate your leadership potential.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about data engineering principles, cloud-native platforms, and CI/CD practices. Brush up on your Python and SQL skills, and be ready to explain your approach to optimising ETL/ELT pipelines. Practising common interview questions can help you articulate your thought process clearly.
✨Understand the Company’s Vision
Familiarise yourself with the company's mission to provide affordable, zero carbon energy. Think about how your role as a Senior Data Engineer can contribute to this vision. Being able to connect your skills and experiences to the company’s goals will make you a standout candidate.
