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For Companies At a Glance
- Tasks: Design and build data solutions to support a data-driven business.
- Company: Join a leading Energy Trading client in the UK focused on modernising data infrastructure.
- Benefits: Enjoy a high-impact role with opportunities for mentorship and collaboration.
- Why this job: Shape data engineering in a dynamic trading environment and drive real business value.
- Qualifications: Experience with cloud platforms, data modelling, and DevOps tools is essential.
- Other info: This is a contract position ideal for those ready for a new challenge.
The predicted salary is between 48000 - 72000 £ per year.
My client is an Energy Trading Client based in the UK who are looking to appoint a Senior Databricks Data Engineer to help modernise their data infrastructure and deliver end-to-end solutions that drive business value. This is a high-impact role working across data strategy, architecture, and engineering to deliver cloud-first solutions within a global trading environment.
Key Responsibilities:
- Design and build data foundations and scalable solutions to support the business in becoming data-driven.
- Champion and implement Data Foundation initiatives in line with strategic programmes.
- Translate vision and data strategy into practical, high-value engineering solutions.
- Serve as a subject matter expert, mentoring junior engineers and collaborating with business and technical stakeholders.
- Coordinate incident, problem, and change management processes.
- Present data-driven insights and architectural decisions to senior stakeholders.
- Drive efficiency across data projects to improve speed, reduce cost, and maximize value.
- Contribute to internal communities of excellence and practice (CoE, CoP).
Skills Needed:
- Experience with cloud platforms including AWS, Azure or SAP
- ETL/ELT Development
- Data Modeling
- Data Integration & Ingestion
- Data Manipulation & Processing
- Version Control & DevOps: Skilled in GitHub, GitHub Actions, Azure DevOps
- Azure Data Factory, Databricks, SQL DB, Synapse, Stream Analytics
- Glue, Airflow, Kinesis, Redshift
- SonarQube, PyTest
If you're ready to take on a new challenge and shape data engineering in a trading-first environment, submit your CV today to be considered.
Contact Detail:
Templeton & Partners - Innovative & Inclusive Hiring Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Data Engineer | Energy Trading
✨Tip Number 1
Familiarise yourself with the specific cloud platforms mentioned in the job description, such as AWS and Azure. Having hands-on experience or relevant projects to discuss can really set you apart during interviews.
✨Tip Number 2
Brush up on your data modelling and integration skills. Be prepared to discuss how you've successfully implemented data solutions in previous roles, as this will demonstrate your ability to deliver high-value engineering solutions.
✨Tip Number 3
Showcase your experience with version control and DevOps tools like GitHub and Azure DevOps. Being able to articulate how these tools have improved your workflow will highlight your technical proficiency.
✨Tip Number 4
Prepare to discuss your approach to mentoring junior engineers and collaborating with stakeholders. This role requires strong communication skills, so having examples ready will help you demonstrate your leadership capabilities.
We think you need these skills to ace Databricks Data Engineer | Energy Trading
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and required skills. Tailor your application to highlight your experience with cloud platforms, data modelling, and engineering solutions relevant to energy trading.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with Databricks, Azure Data Factory, and other tools mentioned in the job description. Provide specific examples of projects where you have designed and built scalable data solutions.
Showcase Your Skills: Make sure to include your proficiency in version control and DevOps practices, as well as your ability to mentor junior engineers. Mention any relevant certifications or training that demonstrate your expertise in data engineering.
Craft a Compelling Cover Letter: Write a cover letter that not only summarises your qualifications but also expresses your enthusiasm for the role. Discuss how you can contribute to the company's data-driven initiatives and your vision for modernising their data infrastructure.
How to prepare for a job interview at Templeton & Partners - Innovative & Inclusive Hiring Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your experience with cloud platforms like AWS and Azure, as well as your proficiency in Databricks and SQL. Highlight specific projects where you've successfully implemented data solutions, as this will demonstrate your hands-on expertise.
✨Understand the Business Context
Familiarise yourself with the energy trading sector and how data plays a crucial role in decision-making. Being able to articulate how your technical skills can drive business value will set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about past experiences where you had to coordinate incident management or implement data foundation initiatives, and be ready to discuss these in detail.
✨Demonstrate Leadership and Mentorship
Since the role involves mentoring junior engineers, be prepared to share examples of how you've guided others in previous roles. Discuss your approach to collaboration and how you can contribute to internal communities of excellence.
