Senior Data Engineer

SPG Resourcing
Liverpool
1 week 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

Job Title:Senior Data Engineer

Location: Remote

Type:Contract (6 Months)

Start Date:ASAP


About the Role

We are looking for an experienced Data Engineer to join a high-impact team working on a strategic enterprise data transformation. This role offers the opportunity to play a key part in the final delivery of a production-grade enterprise data platform, followed by deep involvement in a complex, innovative initiative. A future-facing, Fabric-like solution focused on scalability and advanced data processing.


Key Responsibilities

  • Lead and contribute to various phases of the data platform development cycle from finalising the current enterprise solution to initiating the next-gen data product.
  • Migrate and transform large volumes of SQL-based data to cloud-native data platforms.
  • Design and maintain scalable data pipelines using Databricks, Spark notebooks, and Azure-based tools.
  • Collaborate closely with engineering leads and cross-functional teams to ensure smooth delivery across sprints.
  • Contribute to architecture discussions and recommend best practices in data engineering, especially around data warehouse design, performance optimisation, and data modelling.
  • Support the transition to an enterprise fabric solution involving heavy innovation and complex data workflows.


Required Skills

  • Strong background in SQL, Python and SQL-based data migration.
  • Proven experience with Databricks, Apache Spark, and cloud data platforms (Azure preferred).
  • Solid understanding of data warehouse architectures, ETL pipelines, and modern data lakehouse concepts.
  • Experience working with enterprise-scale data platforms and handling large-scale transformations.


Desirable Skills

  • Prior exposure to Microsoft Fabric or similar modern data stack tools.
  • Familiarity with complex data migration strategies and performance tuning.
  • Experience in cross-functional delivery environments or agile data squads.


If this sounds like something you are interested in, please get in contact:

SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process

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.