At a Glance
- Tasks: Lead a team to design scalable data pipelines and manage data quality.
- Company: Join a global leader in the Energy sector, driving innovation.
- Benefits: Competitive salary, career development, and a dynamic work environment.
- Other info: Opportunity to grow in a fast-paced, evolving industry.
- Why this job: Make a real impact in energy trading while developing your skills.
- Qualifications: Experience in data engineering and familiarity with Azure or Databricks.
The predicted salary is between 80000 - 100000 € per year.
Exciting opportunity for a Data Engineering Lead (Data Acquisition) to join this global Energy company. This is an exciting time to join this world-leading Energy company as it evolves from a traditional Oil.
- Design and build scalable pipelines on Azure (ADLS, ADF, Databricks, Synapse, Event Hubs/Kafka) with robust observability and SLAs.
- Translate requirements from trading, risk, operations and finance into a prioritised engineering backlog, working closely with architects and product owners.
- Serve as the domain's Data Manager, stewarding data definitions, lineage, quality, metadata and access policies.
- Lead, coach and develop a team of data engineers, driving high standards in coding, design and production operations.
- Ensure data platforms are resilient, secure and compliant with relevant trading regulations (REMIT/EMIR).
Experience Azure or Databricks certifications desirable. With a focus within Energy Trading, Oil.
Data Engineering Lead : Data Acquisition employer: Eaglecliff Recruitment
Join a world-leading Energy company that prioritises innovation and sustainability, offering a dynamic work culture where collaboration and professional growth are at the forefront. As a Data Engineering Lead, you will have the opportunity to lead a talented team, drive impactful projects, and contribute to the evolution of energy solutions while enjoying competitive benefits and a commitment to employee development in a vibrant global setting.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Lead : Data Acquisition
✨Tip Number 1
Network like a pro! Reach out to folks in the energy sector, especially those working with data engineering. Attend industry events or webinars and don’t be shy about introducing yourself – you never know who might have a lead on that perfect job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure, Databricks, or any relevant tech. This is your chance to demonstrate your expertise in building scalable pipelines and managing data quality.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of trading regulations like REMIT and EMIR. Be ready to discuss how you can ensure compliance while leading a team of data engineers – it’s all about showing you’re the right fit for the role!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to get noticed by our hiring team directly!
We think you need these skills to ace Data Engineering Lead : Data Acquisition
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineering Lead role. Highlight your experience with Azure, Databricks, and any relevant projects that showcase your skills in building scalable data pipelines.
Showcase Your Leadership Skills:Since this role involves leading a team, don’t forget to mention your leadership experience. Share examples of how you've coached or developed others in the past, and how you maintain high standards in coding and design.
Be Clear on Technical Skills:Clearly outline your technical skills related to data management, observability, and compliance. Mention any certifications you have, especially in Azure or Databricks, as these will make you stand out.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Eaglecliff Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in Azure, Databricks, and the other technologies mentioned in the job description. Brush up on your knowledge of ADLS, ADF, Synapse, and Event Hubs/Kafka. Being able to discuss how you've used these tools in past projects will show that you're not just familiar with them, but that you can apply them effectively.
✨Understand the Business Context
This role involves translating requirements from various departments like trading and finance into engineering tasks. Familiarise yourself with the energy sector, especially how data impacts trading and risk management. Showing that you understand the business side will set you apart from other candidates.
✨Demonstrate Leadership Skills
As a Data Engineering Lead, you'll be expected to coach and develop a team. Prepare examples of how you've led teams in the past, focusing on how you’ve driven high standards in coding and design. Highlight any mentoring experiences or initiatives you've taken to improve team performance.
✨Prepare for Compliance Questions
Since this role requires ensuring data platforms are compliant with regulations like REMIT and EMIR, be ready to discuss your experience with data governance and compliance. Think of specific instances where you’ve implemented policies or practices that ensured data quality and security.
