Data Engineer

Noir; London; Hybrid; GBP 50,000 - 60,000; Full time

Job summary

A leading energy company seeks a talented Data Engineer to optimize data infrastructure for impactful business insights. This role involves designing a robust data warehouse, creating data pipelines, and ensuring compliance with governance standards in a dynamic and innovative environment.

Benefits

Comprehensive benefits package

Opportunity for professional development and career growth

Forward-thinking environment with cutting-edge technologies

Qualifications

• 3-5 years of experience as a Data Engineer, preferably in the energy sector.
• Right to work in the UK.
• Strong problem-solving skills with attention to detail.

Responsibilities

• Design and develop a data warehouse and data pipelines.
• Champion data architecture governance and compliance.
• Conduct data quality assessments and cleansing.

Skills

SQL

Python

Data processing

Data visualization

ETL

Agile Methodologies

Education

Bachelor's degree in Computer Science

Master's degree (preferred)

Tools

Power BI

AWS Glue

Azure Data Factory

DBT

Snowflake

MS SQL

Job description

This range is provided by Noir. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Data Engineer - Leading Energy Company - London

(Tech Stack: Data Engineer, Databricks, Python, PySpark, 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 are 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.
• Competitive salary and comprehensive benefits package.
• Opportunity to work in a forward-thinking environment with cutting-edge technologies.
• Professional development and career growth opportunities.

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 Rishi Chudasama at Noir.

NOIRUKTECHREC

NOIRUKREC

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Design

• Industries

  Staffing and Recruiting

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