Senior Data Engineer – London

Senior Data Engineer – London

London Full-Time 60750 - 74250 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and develop data pipelines for real-time trading systems and create interactive dashboards.
  • Company: Global energy trading business with a focus on innovation and collaboration.
  • Benefits: Up to £88K salary, bonuses, hybrid work, and comprehensive benefits.
  • Other info: Exciting opportunities for career growth in a fast-paced environment.
  • Why this job: Join a dynamic team and make a real impact in the energy trading sector.
  • Qualifications: Strong Python and SQL skills, experience with data pipelines and visualisation tools.

The predicted salary is between 60750 - 74250 £ per year.

Data Engineer required for a global energy trading business, operating across power, gas and LNG markets, looking for a Data Engineer to join its expanding Front Office Data Products team. As a Data Engineer you'll get exposure to data from across the organisation alongside external sources, the team develops data products and applications that support critical trading activities.

This Data Engineer role is a fantastic opportunity for a Strong Data Engineer, with Python, ETL/ELT Skills and Python/UI expertise (Plotly, Streamlit, Flask, Django, React, Angular) to work directly with the Energy analysts and Commodity Traders, building bespoke, flexible applications that have real business impact.

As a Data Engineer, you’ll work closely traders, risk teams and senior management, building reliable data pipelines and interactive dashboards that provide front-office users with the information they need to make trading decisions. As the team continues to expand its capabilities in real-time data processing and Python-based visualisation, they are looking for an experienced Data engineer who can take ownership of data products, contribute to technical decisions and work directly with front-office stakeholders.

Technologies:

  • Python
  • SQL
  • Plotly Dash / Streamlit
  • Airflow / Dagster
  • Kafka
  • Azure
  • Docker
  • CI/CD

Details of the Senior Data Engineer:

Focus: Front Office Data Products – Real time Data and Trading Systems

As a Data Engineer you'll Design, develop and maintain data pipelines supporting front-office trading workflows. As well as building interactive UI's and data products used by the business.

The skills required for this Data Engineer role:

  • Strong Python and SQL development experience
  • Experience building and maintaining data pipelines
  • Knowledge of Airflow, Dagster or Prefect
  • Experience with Plotly Dash or Streamlit

Senior Data Engineer – London employer: VirtueTech Recruitment Group

Join a leading global energy trading business that prioritises innovation and employee development. With a collaborative work culture, you will have the opportunity to take ownership of impactful projects while benefiting from continuous learning and growth in a dynamic environment. Located in a vibrant area, this role offers unique advantages such as access to cutting-edge technology and a commitment to sustainability.

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Contact Details:

VirtueTech Recruitment Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer – London

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We think you need these skills to ace Senior Data Engineer – London

Python
Communication Skills
SQL
Problem-Solving Skills
Data Engineering
Data Pipeline Development
Data Governance

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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✨Get Comfortable with Python and R

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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.