At a Glance
- Tasks: Design and build data solutions to maximise value from data at Shell.
- Company: Join Shell, a leader in energy transition and innovation.
- Benefits: Flexible working hours, competitive salary, and extensive training opportunities.
- Why this job: Be part of a team driving AI and clean energy solutions.
- Qualifications: Experience in data engineering, SQL, and big data technologies required.
- Other info: Diverse and inclusive workplace with excellent career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
, United Kingdom
Job Family Group:
Information Technology (IT)
Worker Type:
Regular
Posting Start Date:
October 7, 2025
Business unit:
Projects and Technology
Experience Level:
Experienced Professionals
Job Description:
What's the role
The Information Data & Analytics (IDA) family is a family of Data experts who create business value every day with their cutting-edge knowledge. We maximize value from information & data, using our domain knowledge & deep technical expertise in market leading information & data tools, to deliver actionable data driven insights for Shell
You will be part of a community of experts in different capabilities in Information Digital Engineering driving ideas to reality embedding AI in every part of our organisation from making our existing businesses more effective and efficient and make us competitive as we accelerate the development of the next generation of clean energy solutions.
What you'll be doing
You will design and build data foundations and end to end solutions for Shell to maximize value from data. You are a key person to convert Vision and Data Strategy for IT solutions and deliver them. With your knowledge you will help create data-driven thinking within the organization, not just within IT teams, but also in the wider Shell stakeholder community.
You will:
- Communicate with both technical developers and business managers and gain respect and trust of leaders and staff
- Actively deliver the roll-out and embedding of Data Foundation initiatives in support of the key business programs advising on the technology and using leading market standard tools
- Coordinate the change management process, incident management and problem management process
- Ensure traceability of requirements from Data through testing and scope changes, to training and transition
- Drive implementation efficiency and effectiveness across the pilots and future projects to minimize cost, increase speed of implementation and maximize value delivery
What you bring
- University degree in any IT discipline
- Significant years of experience in the IT industry
- Proven technology champion in working with relational, Data warehouses databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience/Knowledge in working with NoSQL databases and can create E2E pipelines
- Experienced in building and optimizing complex queries. Good with manipulating, processing and extracting value from large, disconnected datasets
- Proven Experience in working with any one of the data engineering technologies like ADLS, ADF, Azure Databricks, Azure SQL, Synapse, SAP HANA, AWS. Your experience in handling big data sets and big data technologies will be an asset
- Proven champion with in-depth knowledge of any one of the scripting languages: Python, SQL, Spark-SQL/ PySpark
- Very Good understanding in Data Foundation initiatives, like Modelling, Data Quality Management, Data Governance, Data Maturity Assessments and Data Strategy in support of the key business stakeholders
- Experience in working with AGILE, KANBAN methodologies. Able to run a sprint
- Communication Skills to engage both technical developers, Architects, and stakeholders
- Energy Trading & Risk Expertise: Strong knowledge in short-term gas/power trading (including CCGT, wind, solar, battery) and risk modeling/management
- Advanced Quantitative & Commodity Modeling Skills: Proficient in statistical analysis and modeling across energy commodities and meteorology
- DevOps & CI/CD Experience: Hands-on experience in building and enhancing CI/CD pipelines using scripting languages like YAML, PowerShell, and Terraform
- Big Data & Workflow Tools: Skilled in tools such as Kafka, Hadoop, Spark, and workflow managers like Airflow, Azkaban, and Luigi
- Technical Proficiency: Solid Python skills (NumPy, Pandas, Django) and certified in Microsoft Azure
What we offer
You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You'll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You'll be able to balance your priorities as you become the best version of yourself.
- Progress as a person as we work on the energy transition together
- Continuously grow the transferable skills you need to get ahead
- Work at the forefront of technology, trends, and practices
- Collaborate with experienced colleagues with unique expertise
- Achieve your balance in a values-led culture that encourages you to be the best version of yourself
- Benefit from flexible working hours, and the possibility of remote/mobile working
- Perform at your best with a competitive starting salary and annual performance related salary increase – our pay and benefits packages are considered to be among the best in the world
- Take advantage of paid parental leave, including for non-birthing parents
- Join an organisation working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply
- Grow as you progress through diverse career opportunities in national and international teams
- Gain access to a wide range of training and development programmes
Note: As part of your application, please submit a motivation letter along with your resume. The motivation letter should outline your reasons for applying to this position and how your skills and experiences align with the job requirements. This will help us better understand your interest in the role and your suitability for the position.
We'd like you to know that Shell has a bold goal: to become one of the world's most diverse and inclusive companies. You can get to know more about how we're working towards that goal, click here
Shell in The United Kingdom
Shell UK remains one of the North Sea's biggest producers, supplying around 10% of the UK's total oil and gas needs. But perhaps the most recognisable face of Shell in the UK is our network of over 1,000 Shell-branded service stations.
In the years ahead, as the UK looks to strengthen energy security and deliver its 2050 net-zero goal, Shell UK aims to play a crucial role. We aim to be a major investor in the UK energy system by helping our customers decarbonise with a focus on transport and industry.
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DISCLAIMER:
Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.
Data Engineer - Trading employer: Shell
Contact Detail:
Shell Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Trading
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already at Shell. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with data engineering tools like Azure Databricks or SQL. We want to see how you can bring value to our team!
✨Tip Number 3
Showcase your problem-solving skills! During interviews, share examples of how you've tackled complex data challenges. This is your chance to shine and demonstrate your expertise.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining our team at Shell.
We think you need these skills to ace Data Engineer - Trading
Some tips for your application 🫡
Craft a Compelling Motivation Letter: Your motivation letter is your chance to shine! Make sure to clearly outline why you're interested in the Data Engineer role and how your skills align with what we're looking for. Be genuine and let your passion for data and technology come through.
Tailor Your CV: Don't just send a generic CV! Tailor it to highlight your experience with data engineering technologies like Azure Databricks or SQL. We want to see how your background fits the specific needs of the role, so make it relevant!
Showcase Your Technical Skills: We love seeing technical prowess! Include specific examples of your work with big data technologies, scripting languages, and any projects that demonstrate your ability to build and optimise data pipelines. This is your time to impress us with your expertise!
Apply Through Our Website: Make sure to apply through our website for the best chance of getting noticed! It’s the easiest way for us to keep track of your application and ensures you’re considered for the role. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Shell
✨Know Your Data Tools
Make sure you’re well-versed in the data engineering technologies mentioned in the job description, like Azure Databricks and SQL. Brush up on your skills with NoSQL databases and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Communication Skills
Since the role involves liaising with both technical developers and business managers, practice explaining complex data concepts in simple terms. Prepare examples of how you've successfully communicated with different stakeholders in previous roles.
✨Demonstrate Your Problem-Solving Abilities
Be ready to discuss specific challenges you've faced in data engineering and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical skills.
✨Prepare for Technical Questions
Expect questions that test your knowledge of data pipelines and query optimisation. Review common SQL queries and big data concepts, and be prepared to solve a problem on the spot or explain your thought process during a technical challenge.