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Data Engineer - London

Noir

Greater London

Hybrid

GBP 45,000 - 75,000

Full time

30+ days ago

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Job summary

An established industry player in the energy sector is on the lookout for a skilled Data Engineer to join their innovative team. This role offers the chance to design and develop cutting-edge data infrastructure, enabling the company to leverage data-driven insights for impactful business decisions. You'll be responsible for constructing data pipelines, ensuring data quality, and collaborating with cross-functional teams to align data strategies with business goals. If you are passionate about data and thrive in a collaborative environment, this opportunity is perfect for you.

Qualifications

  • 3-5 years of experience as a Data Engineer, preferably in energy.
  • Strong SQL skills and familiarity with ETL tools.

Responsibilities

  • Design and develop a data warehouse for large data volumes.
  • Construct robust data pipelines for cleaning and transforming data.

Skills

SQL
Data Engineering
Python
ETL/ELT tools
Data Visualization
Problem-Solving
Communication Skills

Education

Bachelor's degree in Computer Science
Master's degree in a related field

Tools

Databricks
Power BI
AWS QuickSight
Azure Data Factory
DBT
AWS Glue

Job description

Data Engineer - Leading Energy Company - London

(Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies)

Company Overview: Join a dynamic team, a leading player in the energy sector, committed to innovation and sustainable solutions. Our client is seeking a talented Data Engineer to help build and optimise our data infrastructure, enabling them to harness the power of data-driven insights to drive our business forward.

Responsibilities:

  • Design and develop a cutting-edge data warehouse capable of efficiently ingesting and organising large volumes of data from multiple sources.
  • Champion best practices in data architecture governance, ensuring compliance with security and privacy regulations.
  • Conduct rigorous data quality assessments, employing cleansing and validation techniques as needed.
  • Construct robust data pipelines for cleaning, transforming, and aggregating diverse datasets.
  • Collaborate closely with software development and product teams to align data strategies with business objectives.
  • Stay abreast of emerging trends and technologies in data engineering and industry best practices.

Requirements:

  • Proven experience as a Data Engineer (3-5 years), preferably in the energy sector.
  • Right to work in the UK.
  • Strong proficiency in SQL and database technologies (e.g., MS SQL, Snowflake).
  • Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc.
  • Proficiency in Power BI and Advanced Analytics for insightful data visualisation.
  • Strong programming skills in Python for data processing, scripting, and automation.
  • Familiarity with DBT, Airbyte, or similar transformation and replication products is advantageous.
  • Excellent problem-solving skills, meticulous attention to detail, and ability to work independently or collaboratively.
  • Effective communication and interpersonal skills to engage with stakeholders across all levels.
  • Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. A Master's degree is a plus.

If you are passionate about leveraging data to drive impactful business decisions and thrive in a collaborative, innovative environment, we invite you to apply.

Application Process: Please submit your CV and a cover letter outlining your relevant experience and interest in this role. We look forward to hearing from you!

Location: London/Remote Working UK

Applicants must be based in the UK and have the right to work in the UK even though remote work is available.

To apply for this position please send your CV to Matt Jones at Noir.

NOIRUKTECHREC

NOIRUKREC

NC/RG/DE

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Staffing and Recruiting

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