Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

Job Description

The Role:

We're on the lookout for a Data Scientist who brings genuine depth in both data engineering and visualisation. You'll be joining a growing Data & Analytics team and stepping into a role that spans the full data journey - from architecting robust pipelines to turning complex datasets into insights that people actually act on.

If you're someone who's equally comfortable crafting polished Tableau dashboards, this one's for you.

What You'll Be Doing:

Design and maintain scalable data pipelines using PySpark and SQL across distributed environments Wrangle and analyse large, complex datasets to surface meaningful patterns and trends Build data science solutions in Python - spanning exploratory analysis, predictive modelling, and workflow automation Develop clear, interactive Tableau dashboards that make insights accessible to stakeholders at every level Bridge the gap between raw data and business understanding through intuitive, well-crafted visualisations Partner with business teams to understand their needs and translate them into practical, data-driven solutions Own data quality and integrity across pipelines, transformations, and reporting outputs Deliver production-grade work that's built to scale

What We're Looking For

Hands-on experience with Python, SQL, PySpark, and Tableau A strong track record building end-to-end Tableau dashboards, from data preparation through to final delivery Solid PySpark experience, particularly for large-scale data processing and pipeline development A firm grasp of data transformation, modelling principles, and big data environments Versatility across both data science and data engineering disciplines A sharp analytical mindset with a focus on generating insights that drive real decisions

ADVERT DISCLAIMER

Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don’t worry if you don’t tick every single box. We’d still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.