Data Engineer

The Green Recruitment Company
Newcastle upon Tyne
4 days ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer - Snowflake, Oracle - Redress and Remediation

Data Engineer - MS Azure

Principal Engineer

The Green Recruitment Company is working with an Environmental and Sustainability Business that supports and empower their customers journey to net zero. To join their Data-Technology team, we have an opportunity for a Data Engineer to help support the wider business (cross-functional) to meet their reporting and data requirements.


About the role:

  • The Data Engineer will be working with the latest innovative technologies, to design, build and maintain data solutions, constructing process to surface data both internally for reporting purposes and externally through the customer portal.
  • The Data Engineer will be responsible for developing scalable data pipelines to integrate diverse data sources whilst ensuring data quality under the framework of a new Data Platform for real time application integration and reporting, and will work closely with business stakeholders to support data-driven decision making by delivering clean, well-structured datasets that can be utlised for reporting purpose in a performent, secure way.


Key responsibilities:

  • Taking full ownership of assigned projects and BAU tasks.
  • Maintaining current pipelines within Azure ADF and Synapse Analytics.
  • Build a process of transforming raw data from various CRM system into a harmonised and curated layer.
  • Develop the usage of event driven topics for usage of various subscribers.
  • Investigate and document Architectural Spikes to help foster best practice within the Data Team.
  • Developing and creating data science tools to give a deeper understanding of the customer book.
  • Recording and updating of work on Project Management System (Azure DevOps).
  • Own and enhance the BAU runbook for engineering operations
  • Develop the instrumentation and monitoring of IT automated tasks
  • Taking a lead in the engineering function of the data team


Requirements:

Qualifications:Bachelor’s degree or above in Computing or Software Development or similar


Experience required:

  • 3-5 years' Cloud-based Data Engineering experience,
  • Previous experience of formal methodologies with data engineering
  • Experience leading or working in an engineering team or function
  • Previous experience of using the Azure Stack
  • Experience working in a proactive analytics function
  • Experience of working in the Utilities sector
  • Experience leading technical projects


Skills & Technologies required:

  • Proficiency in cloud-based data engineering tools (ADF, Synapse Analytics, S3, Lamda)
  • Proficiency in using PySpark notebooks for ELT.
  • Fostering and cultivating a culture of best practices
  • Strong analytical and problem-solving skills.
  • Ability to work independently and as part of a functional and cross-functional team
  • Excellent communication and documentation skills.
  • Proven ability to design, evaluate and score engineering options
  • Formal data engineering qualification


On offer:Salary £42 000 - £45 000 (depending on experience) with an attractive company benefit package & career development

Get the latest insights and jobs direct. Sign up for our newsletter.

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 Education

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Jobs Careers

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Jobs

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

🍪 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.