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- Tasks: Design and build data solutions to modernise energy trading infrastructure.
- Company: Join a leading UK Energy Trading client focused on innovative data strategies.
- Benefits: Enjoy a contract role with opportunities for mentorship and collaboration.
- Why this job: Make a real impact in a global trading environment while driving data-driven decisions.
- Qualifications: Experience with cloud platforms, ETL/ELT development, and data engineering tools required.
- Other info: Ideal for those looking to shape the future of data engineering.
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.
Databricks Data Engineer | Energy Trading employer: ATTB - The Big Jobsite
Contact Detail:
ATTB - The Big Jobsite 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 certifications can really set you apart from other candidates.
✨Tip Number 2
Showcase your experience with ETL/ELT development and data modelling in your conversations. Be prepared to discuss specific projects where you've successfully implemented these skills, as this will demonstrate your practical knowledge.
✨Tip Number 3
Highlight your ability to mentor junior engineers and collaborate with stakeholders. Prepare examples of how you've led teams or influenced decision-making processes in previous roles, as this is crucial for a senior position.
✨Tip Number 4
Stay updated on the latest trends in data engineering and energy trading. Being able to discuss current industry challenges and innovations during your interview will show your passion and commitment to the field.
We think you need these skills to ace Databricks Data Engineer | Energy Trading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with cloud platforms like AWS, Azure, or SAP. Emphasise your skills in ETL/ELT development, data modelling, and any specific tools mentioned in the job description, such as Databricks and Azure Data Factory.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, particularly your experience in data engineering and your ability to drive efficiency in data projects.
Showcase Your Technical Skills: Include specific examples of your work with data integration, manipulation, and processing. Mention any relevant projects where you used version control and DevOps practices, especially with GitHub and Azure DevOps.
Prepare for Potential Interviews: Anticipate questions related to your technical expertise and problem-solving abilities. Be ready to discuss how you've mentored junior engineers and collaborated with stakeholders to deliver data-driven insights.
How to prepare for a job interview at ATTB - The Big Jobsite
✨Showcase Your Technical Skills
Be prepared to discuss your experience with cloud platforms like AWS and Azure, as well as your proficiency in ETL/ELT development. Highlight specific projects where you've successfully implemented data solutions, as this will demonstrate your capability to deliver high-value engineering solutions.
✨Understand the Business Context
Research the energy trading sector and understand how data drives business value in this environment. Be ready to discuss how your technical skills can contribute to the company's goals and how you can help modernise their data infrastructure.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you handle real-world challenges. Prepare examples of past incidents you've managed or how you've improved efficiency in data projects, as this will showcase your practical experience.
✨Demonstrate Leadership and Mentorship
Since the role involves mentoring junior engineers, be ready to discuss your leadership style and any previous mentoring experiences. Share how you've collaborated with stakeholders and contributed to communities of excellence, as this will highlight your ability to work within a team.
