At a Glance
- Tasks: Build and optimise data pipelines for exciting client projects across the UK.
- Company: Join a leading global technology consultancy with a focus on innovation.
- Benefits: Competitive salary, travel expenses covered, and opportunities for professional growth.
- Other info: Work with cutting-edge technologies and enjoy a dynamic project environment.
- Why this job: Make an impact by supporting analytics and AI initiatives in diverse industries.
- Qualifications: 5+ years in Data Engineering, proficient in Python and SQL.
The predicted salary is between 70000 - 90000 £ per year.
We're supporting a global technology consultancy who are looking to hire Senior Data Engineers into their growing data practice. You'll work across a variety of client projects across the UK Government and private sector, helping organisations build modern cloud-based data solutions that support analytics, machine learning and emerging AI use cases. Expensed travel to client sites across the UK is required, typically averaging around 6-8 visits per month depending on the engagement.
What you'll be doing:
- Building and optimising data pipelines using modern ETL/ELT approaches
- Working across Azure and/or AWS cloud environments
- Designing data models and ensuring data quality and governance standards are met
- Delivering solutions using technologies such as Databricks, Snowflake, Fabric, Spark and other modern data tooling
- Supporting the data foundations that underpin analytics, ML and GenAI initiatives
- Using software engineering best practices including CI/CD, automated testing and Infrastructure as Code
- Working closely with client stakeholders, architects, engineers and data scientists
What they're looking for:
- 5+ years Data Engineering experience delivering production-grade solutions
- Python and SQL
- Experience with modern cloud data technologies such as Databricks, Snowflake, Fabric, Airflow, dbt or similar
- Understanding of data modelling, performance optimisation and data quality
- Strong communication and stakeholder engagement skills
- Eligible for SC Clearance
Additional Information:
- Projects typically range from a few months through to several years in duration
- Opportunity to work across different industries, technologies and client environments
- AI experience is beneficial, but they're primarily looking for strong Data Engineers who understand how data supports AI and ML workloads
Senior Data Engineer in Birmingham employer: F5 consultants
Join a leading global technology consultancy that values innovation and collaboration, offering Senior Data Engineers the chance to work on impactful projects across both the UK Government and private sector. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the latest cloud technologies, all within a supportive work culture that encourages creativity and teamwork. Enjoy the unique advantage of diverse client engagements while travelling to various locations across the UK, enhancing your professional experience and network.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Birmingham
✨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 F5 consultants!
✨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 F5 consultants.
✨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 F5 consultants.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at F5 consultants, 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 in Birmingham
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 F5 consultants, 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 F5 consultants. 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 F5 consultants
✨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 F5 consultants!
✨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.
