Data Engineer - Python & Azure

Leeds
3 days ago
Create job alert

DATA ENGINEER - PYTHON & AZURE

Contract type: Permanent

Hours: 37.5

Salary: Circa £61,000, depending on experience

Location: Leeds or Birmingham

WFH policy: Employees are required to attend the office 2 days/week

Travel: You will be required to travel to the London office once a month (this is expensed by the business)

Flexible working: Variety of flexible work patterns subject to line manager discretion e.g. Compressed 9-day fortnight.

Reports to: Data Engineer Manager

Deadline Note: We reserve the right to close the advert before the advertised deadline if there are a high volume of applications.

Role Summary:

As the Data Engineer, you will own LCCC’s data ecosystems and will work with developers, solution architects, technical BAs, analysts, data scientists, and other SMEs to define the optimum data platform for the business. You will build the required ETL/ELT pipelines for the ingesting, processing and storing of data and ensure data integrity, accuracy, and reliability throughout the data lifecycle.

You will have a specific focus on developing the data inputs that are utilised by the organisation’s internal forecasting model of the GB power markets and operations; designing a framework that scales effectively along with the source data.

Key Responsibilities:

  • Build and maintain ETL/ELT pipelines to make data accurate and easy to use

  • Work to ingest and transform data sets from a variety of data sources including APIs, web scraping, backup databases and third-party services

  • Analyze data to identify patterns, anomalies, and structure in preparation for Extract, Transform, and Load (ETL) processes

  • Ensure efficient data synchronization and flow between various platforms and systems

  • Explore ways to enhance data quality and reliability

  • Assist with the establishment of a data culture across the organisation

  • Drive better data governance through the creation and embedding of principles and processes e.g. Flow Diagram, Data Dictionary, Data Semantic Layers

  • Set service level indicators and monitor execution of data workflows and configure alerts Identify data quality issues through data profiling, analysis and stakeholder engagement

    Skills Knowledge and Expertise

    Essential:

  • At least 1 year of data engineering experience - building data platforms and supporting modelling and data analytics

  • Hands on experience within the Azure Data ecosystem, with Azure Databricks, Data Factory, Data Lake, and Synapse. Certifications are a plus.

  • Strong competence in Python, ideally with PySpark experience

  • Strong competence in SQL

  • Experience building and maintaining data pipelines

  • Experience managing DevOps Pipelines

  • Strong experience in process optimisation, performance tuning, data modelling and SQL/database design skills.

    Desirable:

  • Experience in data architecture

    Employee Benefits:

    As if contributing to and supporting work that makes life better for millions wasn’t rewarding enough, we offer a full range of benefits too. Key benefits that may be available depending on the role include:

  • Annual performance based bonus, up to 10%

  • 25 days annual leave, plus eight bank holidays

  • Up to 8% pension contribution

  • Financial support and time off for study relevant to your role, plus a professional membership subscription

  • Employee referral scheme (up to £1500), and colleague recognition scheme

  • Family friendly policies, including enhanced maternity leave and shared parental leave

  • Free, confidential employee assistance, including financial management, family care, mental health, and on-call GP service

  • Three paid volunteering days a year

  • Season ticket loan and cycle to work schemes

  • Family savings on days out and English Heritage, gym discounts, cash back and discounts at selected retailers

  • Employee resource groups

    About Low Carbon Contracts Company

    The Low Carbon Contracts Company (LCCC) exists to help decarbonise the generation of electricity and make it more affordable for the future. Our work is central to the delivery of the Government’s objective to achieve Net Zero target by 2050.

    Please take the time to answer the optional diversity questions

    At LCCC, we are dedicated to fostering a diverse and inclusive workplace where everyone can be their authentic selves and contribute to our mission of advancing a flexible energy future. Our aim is to be reflective of the environments where we operate and truly benefit from a rich tapestry of backgrounds and experiences where everyone thrives which of course make us stronger together. Your diversity data is valuable to us, it helps us understand whether we are effectively connecting with underrepresented groups and realising our diversity aims. Please note that your diversity data will remain anonymised to us as it only feeds into high-level reports not connected to the candidates

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer (Airport/Manufacturing Experience Required)

Data Engineer - Python & Azure

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.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.