Data Engineer in Glasgow

Data Engineer in Glasgow

Glasgow Full-Time No working from home possible
Harvey Nash

At a Glance

  • Tasks: Design and optimise data pipelines using Python on Databricks and Streamlit.
  • Company: Dynamic energy market company in Glasgow with a hybrid work model.
  • Benefits: Competitive day rate, flexible working, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and data excellence.
  • Why this job: Join a cutting-edge team and make a real impact in the energy sector.
  • Qualifications: Experience in Python, SQL, and data engineering; strong communication skills.

Job Description: Data Engineer | 6 Month Contract | (Inside IR35) | Hybrid, Glasgow | Starting ASAP

Day Rate: 600

About the Role:

As the Senior Data Engineer within Energy Markets, you will be responsible for designing, building, managing, and optimizing data pipelines and the data model used by our Data Scientists and Traders. You will work closely with Data Management teams on governance and security as well as business stakeholders around projects and IT teams to deliver these data pipelines and models effectively into production. This role will focus on Python development on the Databricks and Streamlit platforms to deliver operational tools and process efficiencies.

You will:

  • Architect, create, improve, and operationalise integrated and reusable data pipelines, tools and processes. Measure performance, efficiency and robustness of data provision and best practice process approaches.
  • Deliver commercial value through working with key business stakeholders, IT experts and subject-matter experts and high-quality analytics and data science solutions.
  • Understand that solutions and developments need to fit with the long-term Data Strategy for the analytics platform.
  • Explore the opportunities presented by using the latest advances in technology and tools alongside contributing to ensure an appropriate operational model exists to support solutions in production.
  • Promote a better understanding of data and analytics across business stakeholders.

Essential Skills & Experience:

  • Extensive experience in programming/query language skills including Python/PySpark and SQL.
  • Data engineering experience via data preparation, transformation & conversion to allow for rapid processing of system data across a number of different formats & structures.
  • Experience in Databricks, Azure, ADF, Streamlit or alternatives.
  • Excellent technical computing, analysis, design and development skills to a proven professional level.
  • Good understanding of data streaming concepts with experience designing, analysing (not essential).
  • A good understanding of data modelling, ELT design patterns, data governance, and security best practices.
  • A problem-solving mindset, curiosity, and adaptability - able to operate as a generalist across multiple data domains.
  • A strong background in delivering using cloud-based Microsoft Azure Data and Analytics capabilities, Microsoft DevOps and Agile delivery.
  • Experience with designing, building, and operating analytics solutions using Azure cloud technologies.

Stakeholder Management & Communication:

  • Possesses outstanding communication skills and encourages collaboration across EM. Building strong relationships throughout the business is crucial to preserving the trust and respect necessary for the team to continue offering support and guidance.
  • Strong communication and stakeholder management skills, with the ability to lead cross-functional projects and drive adoption of data quality practices.
  • Promote and champion the exceptional work being accomplished.

This role has been deemed Inside IR35 by the client. Applicants must hold, or be happy to apply for, a valid Basic Disclosure Scotland.

Data Engineer in Glasgow employer: Harvey Nash

As a leading player in the energy sector, our company offers an exceptional work environment for Data Engineers in Glasgow, combining a hybrid work model with a focus on innovation and collaboration. Employees benefit from competitive day rates, opportunities for professional growth through exposure to cutting-edge technologies like Databricks and Azure, and a culture that values teamwork and stakeholder engagement. Join us to make a meaningful impact while advancing your career in a supportive and dynamic setting.

Harvey Nash

Contact Details:

Harvey Nash Recruitment Team

We think you need these skills to ace Data Engineer in Glasgow

Python
PySpark
SQL
Data Engineering
Databricks
Azure
ADF