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- Tasks: Design and maintain data pipelines for ETRM systems, ensuring data quality and integrity.
- Company: Join a leading firm in Energy Trading and Risk Management, shaping the future of data solutions.
- Benefits: Enjoy flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team, collaborate with experts, and make a real impact in the energy sector.
- Qualifications: 10+ years experience in data engineering, with skills in Azure Data Factory, Snowflake, and Python.
- Other info: Ideal for problem solvers who thrive in fast-paced environments and love tackling complex challenges.
The predicted salary is between 54000 - 84000 £ per year.
Experience: 10+ years
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines and ETRM systems.
- Implement real-time data replication from various source systems to Snowflake using Fivetran.
- Work on data integration projects within the Energy Trading and Risk Management (ETRM) domain.
- Collaborate with cross-functional teams to integrate data from ETRM trading systems like Allegro, RightAngle, and Endur.
- Optimize and manage data storage solutions in Data Lake and Snowflake.
- Develop and maintain ETL processes using Azure Data Factory and Databricks.
- Write efficient and maintainable code in Python for data processing and analysis.
- Ensure data quality and integrity across various data sources and platforms.
- Develop and maintain data pipelines using FiveTran, Snowflake, and Azure Data Factory (ADF).
- Ensure data accuracy, integrity, and availability across various trading systems.
- Collaborate with traders, analysts, and IT teams to understand data requirements and deliver robust solutions.
- Optimize and enhance data architecture for performance and scalability.
Mandatory Skills:
- Azure Data Factory (ADF)
- Data Lake
- Snowflake
- Python
- Databricks
- Fivetran
- Experience in ETRM domain
- Integration with trading systems like Allegro, RightAngle, Endur
Preferred Qualifications:
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
- Ability to work in a fast-paced and dynamic environment.
- Experience with other data integration tools and technologies is a plus.
Education:
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- Certification in relevant technologies is a plus.
Data Engineer - ETRM employer: Vallum Associates
Contact Detail:
Vallum Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - ETRM
✨Tip Number 1
Familiarise yourself with the specific ETRM systems mentioned in the job description, such as Allegro, RightAngle, and Endur. Understanding how these systems operate will give you an edge during interviews and help you demonstrate your relevant experience.
✨Tip Number 2
Brush up on your skills with Azure Data Factory, Snowflake, and Databricks. Consider working on personal projects or contributing to open-source projects that utilise these technologies to showcase your hands-on experience.
✨Tip Number 3
Network with professionals in the ETRM field through platforms like LinkedIn. Engaging with industry groups or attending relevant webinars can provide insights into the latest trends and may even lead to referrals.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges in Python, especially focusing on data processing and ETL scenarios. Being able to solve problems on the spot will demonstrate your proficiency and confidence in your skills.
We think you need these skills to ace Data Engineer - ETRM
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory, Snowflake, and Python. Include specific projects where you've designed and maintained data pipelines, especially in the ETRM domain.
Craft a Compelling Cover Letter: In your cover letter, emphasise your 10+ years of experience and how it aligns with the responsibilities listed in the job description. Mention your collaboration with cross-functional teams and your problem-solving skills.
Showcase Relevant Projects: Include examples of past projects that demonstrate your expertise in data integration and management, particularly with tools like Fivetran and Databricks. This will help illustrate your hands-on experience.
Highlight Soft Skills: Don't forget to mention your communication and collaboration skills. These are crucial for working with traders and analysts, so provide examples of how you've successfully worked in team environments.
How to prepare for a job interview at Vallum Associates
✨Showcase Your Technical Skills
Make sure to highlight your experience with Azure Data Factory, Snowflake, and Python during the interview. Be prepared to discuss specific projects where you've implemented these technologies, as this will demonstrate your hands-on expertise.
✨Understand the ETRM Domain
Familiarise yourself with Energy Trading and Risk Management concepts, especially the systems mentioned like Allegro, RightAngle, and Endur. Showing that you understand the domain will set you apart from other candidates.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills. Think of examples from your past work where you faced challenges in data integration or pipeline optimisation, and be ready to explain how you overcame them.
✨Emphasise Collaboration
Since the role involves working with cross-functional teams, be sure to share experiences where you've successfully collaborated with traders, analysts, or IT teams. Highlight your communication skills and ability to understand diverse data requirements.
