Data Scientist High-Growth Technology Consultancy | Hybrid (UK)

We’re a fast-growing technology consultancy delivering advanced engineering solutions in highly demanding environments. Our model focuses on deploying top-tier engineers into mission-critical projects, combining deep technical expertise with a strong delivery mindset.

We’re now hiring a Data Scientist to design and build scalable data solutions for leading organisations.

Why Join

• Work on high-impact, complex data projects
• Hybrid working with flexibility
• Collaborate with high-performing engineering teams
• Exposure to modern data stacks and cloud technologies
• Clear progression in a growing consultancy

The Role

You’ll design, build, and optimise data pipelines and systems that support critical business decisions.

Key Responsibilities

• Build and maintain data pipelines and data-intensive systems
• Process and transform large datasets efficiently
• Ensure data quality, reliability, and performance
• Troubleshoot and improve data products
• Collaborate with stakeholders to deliver solutions

About You

• 0–3 years’ experience in data engineering or a related field
• Degree from a Russell Group university
• Strong academic background, including A*/A/B grades at A-Level

Experience in the following areas is advantageous, however, training is provided within the role, so do not worry if you do not meet all of these

• Experience building data pipelines or data applications
• Strong skills in Python and/or SQL
• Familiarity with tools like Spark, Databricks, or Airflow
• Experience with AWS, Azure, or GCP
• Strong problem-solving and communication skills

What We Offer

• Competitive salary + progression opportunities
• Exposure to complex, large-scale projects
• Career growth in a fast-scaling environment
• Hybrid working and collaborative culture

Apply Now: If you’re excited by solving complex data challenges in a high-performance environment, we’d love to hear from you.

Data Engineering, Data Pipelines, ETL, Python, SQL, Spark, Databricks, Airflow, AWS, Azure, GCP, Cloud Technologies, Data Processing, Data Transformation, Data Quality, Scalable Systems, Data Applications, Data-Intensive Systems, Data Engineer, Engineering Consultant, High-Impact Projects, Problem Solving, Stakeholder Collaboration, Analytical Thinking, Communication, Delivery Mindset, Technical Expertise, Hybrid Working, Career Growth