Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer - Python & Azure

Low Carbon Contracts Company Ltd
Leeds
7 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data engineer

Data Engineer

Data Engineer

Data Engineer

DATA ENGINEER - PYTHON & AZUREContract type: PermanentHours: 37.5Salary: Circa £61,000, depending on experienceLocation: Leeds or BirminghamWFH policy: Employees are required to attend the office 2 days/weekTravel: 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 ManagerDeadline 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 engagementSkills Knowledge and ExpertiseEssential: * 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 architectureEmployee 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 groupsAbout Low Carbon Contracts CompanyThe 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 questionsAt 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

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.