Data Engineer - Employee Technology Support Analytics

Data Engineer - Employee Technology Support Analytics

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
Bloomberg

At a Glance

  • Tasks: Design and maintain data models, ETL pipelines, and BI applications for impactful insights.
  • Company: Join Bloomberg, a leading tech company known for innovation and excellence.
  • Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on career development and learning.
  • Why this job: Make a difference by transforming raw data into trusted insights for decision-making.
  • Qualifications: Experience in data engineering and strong problem-solving skills required.

The predicted salary is between 63000 - 77000 Β£ per year.

Bloomberg seeks a Data Engineer to join the Employee Technology Support team in the United Kingdom.

You will design and maintain data models, ETL pipelines, and BI applications that turn raw operational data into trusted insights for decision making.

You will work with stakeholders across engineering, product, and business to translate challenges into scalable data solutions, build dashboards, monitor data quality, and own data platforms end to end.

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Data Engineer - Employee Technology Support Analytics employer: Bloomberg

Bloomberg is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a strong emphasis on employee growth, you will have access to numerous professional development opportunities while working in a cutting-edge environment that values your contributions to the data manufacturing infrastructure. Located in a vibrant city, Bloomberg provides unique advantages such as a diverse workforce and a commitment to work-life balance, making it a rewarding place to advance your career.

Bloomberg

Contact Details:

Bloomberg Recruitment Team

We think you need these skills to ace Data Engineer - Employee Technology Support Analytics

SQL
Python
Data Pipeline Development
Problem-Solving Skills
Communication Skills
Data Engineering
API Integration