At a Glance
- Tasks: Build scalable data solutions and optimise data pipelines to unlock business insights.
- Company: Join Shell, a leading global energy company committed to innovation.
- Benefits: Enjoy flexible working hours, competitive salary, and extensive training opportunities.
- Other info: Be part of a diverse team that values integrity and respect.
- Why this job: Make a real impact in a data-driven environment while growing your skills.
- Qualifications: Experience in data engineering and proficiency in Big Data technologies required.
The predicted salary is between 56700 - 69300 £ per year.
Are you a Senior Data Engineer passionate about building scalable data solutions and turning data into business value? In this role, you'll work on data engineering projects within IT – T&S, delivering complex data management solutions by leveraging industry best practices. You will collaborate closely with project teams to design, build, and optimize efficient data pipelines and data platforms that enable the business to unlock insights and maximize the value of its data.
If you thrive in solving complex data challenges and enjoy creating high-quality, reliable data solutions, then this role is for you.
What you’ll be doing:
- Understanding the business vision from the data solutions and work with all project stakeholders to enable that.
- Working alongside multiple other project team members to drive towards the common goal.
- Helping the business analysts to create data mapping documents that define the end to end pipeline.
- Building and delivering data pipelines that ingests, transform & load data (structured and unstructured) from multiple sources into the target data lake/database.
- Building the data management layer in line with the business needs and standards defines.
- Triaging problems in the pipelines or data layers and effectively fix them based on the priority.
- Automating data loading during initial or incremental loads.
- Supporting the operations team during critical issues and helps them in faster resolution.
- Leveraging agentic workflows to generate data pipelines.
- Deep query analysis and optimization ability using Azure SQL Databases.
What you bring:
- IT industry experience, with at least good exposure on Big data technologies.
- Interest and passion in Big Data technologies and appreciates the value that can be brought in with an effective data management solution.
- Has worked on real data challenges and handled huge volume, velocity and variety of data.
- Understands Infrastructure concepts and has worked with multiple cloud tenants.
- Proficient with data warehousing and traditional ETL technologies.
- Experience in building cloud native Data Pipelines with modularization, containerization & unit test frameworks.
- Strong experience in writing stored procedure, functions and triggers in SQL.
- Strong experience on Azure ecosystem and has worked with data management on Databricks, Delta Lake, ADF, Blob Store, ADLS etc.
- Strong coding experience in Apache Spark – primarily PySpark.
- Strong coding experience in Polars dataframe technology.
- Solid programming skills primarily in Python.
- Proficient with agentic workflows using GitHub Copilot.
- Implement complex data processing algorithms in real time in an efficient manner using Spark and other technologies.
- Worked with both structured and unstructured data.
- Knowledge on data visualisation and modelling tools.
- Excellent analytical & problem-solving skills, willingness to take ownership and resolve technical challenges.
- Excellent communication and stakeholder management skills.
- Industry certification in Data Engineering is an added advantage.
- Knowledge on latest database technologies like MongoDB, Cosmos, Cassandra etc. would be an advantage.
What we offer:
- 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.
- Make an impact in one of the world’s leading data-driven businesses.
- 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.
- 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.
- Grow as you progress through diverse career opportunities in national and international teams.
- Gain access to a wide range of training and development programmes.
Shell is working to advance an inclusive, psychologically safe and accessible environment where people with disabilities can excel. If you require any accommodations or accessibility adjustments during the application or interview process, please let us know directly via careers@shell.com.
Senior Data Engineer employer: Shell
At Shell, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through comprehensive training programmes and opportunities for advancement within the company. Located in a vibrant environment, we provide our team with unique advantages such as flexible working arrangements and a strong focus on sustainability, making Shell not just a workplace, but a community dedicated to meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Shell!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer at Shell.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Shell.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Shell, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Shell, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Shell. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Shell
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Shell!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
