At a Glance
- Tasks: Lead data engineering initiatives and shape standards for a high-performing data environment.
- Company: Join a dynamic organisation focused on innovative data solutions.
- Benefits: Competitive salary, flexible working, and opportunities for mentorship and growth.
- Other info: Be part of a collaborative team driving data excellence in a complex environment.
- Why this job: Make a real impact by improving data engineering practices and mentoring future talent.
- Qualifications: 6+ years in data engineering with strong SQL and cloud platform experience.
The predicted salary is between 54000 - 66000 £ per year.
We're looking for an experienced Senior Data Engineer to join a growing data operations function and take a leading role in shaping data engineering standards, architecture, governance and delivery.
This is an exciting opportunity for someone who wants to go beyond simply building pipelines. You'll act as a technical authority for data engineering, helping to create a sustainable, scalable and high-performing data environment while mentoring engineers and driving best practice across the function.
About You
We're looking for someone with 6+ years' experience in data engineering or related data disciplines, including data integration, modelling, optimisation and data quality, with proven experience delivering modern cloud data platforms.
You’ll ideally bring strong experience across:
- Expert SQL, including query optimisation, indexing and performance diagnosis
- DevOps and CI/CD, release management and environment strategy
- Azure Data Factory, including metadata driven and parameterised pipeline design
- Azure Databricks and Spark
- Unity Catalog, Delta Lake and medallion architecture
- Extracting data from APIs, including authentication, pagination, rate limits and schema changes
- Data governance and orchestration
- IoT and telemetry data, particularly high-volume operational data
- Understanding when to apply data engineering versus integration engineering patterns.
Experience with complex or spatial data, as well as exposure to Databricks, Synapse and Power BI, would also be advantageous.
Why this opportunity?
This is a role for a hands-on technical leader who enjoys improving how data engineering is done, not simply delivering individual projects. You’ll have the opportunity to influence engineering standards, improve performance and automation, mentor junior talent and help shape the future data engineering capability of a large and complex organisation.
If you're a Senior Data Engineer who enjoys solving complex problems, improving efficiency and setting the technical standard, we'd love to hear from you.
Senior Data Engineer employer: CAP resourcing
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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 CAP resourcing!
✨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 CAP resourcing.
✨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 CAP resourcing.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at CAP resourcing, 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 CAP resourcing, 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 CAP resourcing. 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 CAP resourcing
✨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 CAP resourcing!
✨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.
