Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Senior Data Engineer

Corecom Consulting
West Yorkshire
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

📍 Hybrid (2 days on-site | Office ~10 mins from train station)


💼 £55,000-£60,000 + ~8% Bonus | Full-time | Permanent

A newly established data function within a growing organisation is looking for a Senior Data Engineer to help shape and scale modern data capabilities. This is a hands-on role with high visibility, ideal for someone who enjoys solving complex problems and can confidently represent the data function across a range of projects.

About the Role:

You'll be responsible for maintaining and evolving data pipelines, contributing to architecture decisions, and working closely with both internal stakeholders and external vendors. The tech stack centres around AWS and Databricks, and you'll have the chance to drive impactful data initiatives from day one.

Key Responsibilities:

Build, maintain, and scale reliable data pipelines


Work across AWS services (Redshift, Glue, Lambdas) and Databricks
Design and evolve data models, data lakes, and warehouse solutions
Apply CI/CD practices using GitHub and modern DevOps workflows
Engage with cross-functional teams and vendors to deliver high-quality data solutions

What We're Looking For:

Strong hands-on experience with AWS, Databricks, and Python


Proven ability to work with large-scale datasets and cloud architectures
Deep understanding of data modelling, warehousing, and pipeline development
Familiarity with CI/CD pipelines and Git-based version control
A proactive, confident communicator who thrives on challenge

Certifications are a bonus, but practical, applied knowledge is the priority. The right person will be technically strong, delivery-focused, and comfortable representing the data team in business-critical settings.

This is a great opportunity to make a real impact in a fast-evolving environment that values ownership, learning, and collaboration.

Interested? Apply now to take the next step in your data engineering journey

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly become one of the most influential disciplines of the digital age. Once a niche combination of statistics and computing, it is now central to how organisations innovate, compete, and grow. From healthcare and finance to retail, logistics, and government, data science is reshaping decision-making across every sector. In the UK, data science has grown into a core career pathway. Salaries are competitive, demand continues to rise, and roles now extend far beyond analytics into artificial intelligence, machine learning, and predictive modelling. Yet as technologies evolve, many of the most important data science careers of the future don’t exist today. This article explores why entirely new roles will emerge, the kinds of careers that may appear, how existing jobs will evolve, why the UK is well placed to lead, and what professionals can do to prepare for this transformation.

Jobs

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Jobs

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.