At a Glance
- Tasks: Build cloud data solutions and support data scientists in a dynamic environment.
- Company: Join Barnett Waddingham, a leading firm with a focus on data-driven success.
- Benefits: Enjoy competitive bonuses, generous holidays, and a range of health and wellness perks.
- Other info: Flexible working options and a commitment to accessibility for all.
- Why this job: Kickstart your career in data engineering and make a real impact on exciting projects.
- Qualifications: 2-3 years of experience in SQL Server/Azure SQL and ETL pipelines.
The predicted salary is between 36000 - 60000 £ per year.
Our IT Practice Area is a key part of our success, and our clients include many large household-name companies. We are looking for an early career Data Engineer who can hit the ground running in certain areas but who has the capacity and keenness to grow into all aspects of the role. As Barnett Waddingham has grown, data has become increasingly important to its success. The Data Team is responsible for maintaining managed access to well-structured data as the size and complexity increases. These include all aspects of data solution development and operation – research, analysis, scripting/automation, testing, deployment, support, monitoring, and performance/cost management.
A snapshot of your day:
- Build cloud data engineering solutions that support hybrid environments
- Work alongside different software teams to help deliver modern data systems
- Support data scientists and analysts to help them implement data solutions
- Build relationships with client stakeholders to develop rapport and confidence
We would love to hear from you if you have:
- 2-3 years of relevant commercial experience
- Strong skills in SQL Server / Azure SQL
- Experience of building ETL Pipelines in Azure Data Factory or similar
- Good knowledge of data querying techniques
- Good understanding of data models, data mining, and data manipulation techniques
- Great numerical and analytical skills
- Experience working with software developers and other highly technical peers in an agile environment
- Experience of Development environments and tools such as Visual Studio / SQL Server Data Tools / Azure Data Studio
- Experience of Azure DevOps, Azure pipelines, Git
- Knowledge of Analytics tools such as Tableau and PowerBI
What’s in it for you:
- Competitive discretionary annual bonus
- Generous pension scheme
- Core benefits for you including private medical cover, life assurance, group income protection and up to 30 days holiday per year with holiday trading
- A comprehensive range of voluntary benefits to suit you (and your family) including an electric car leasing scheme, tech scheme, cycle to work scheme, dental cover, healthcare cash plan, health assessments, critical illness cover, Sports Allowance - we pay up to 50% of your gym/sports membership (up to 50 pm), travel insurance, paid volunteering and a broad range of retailer discounts
- Happy to talk flexible working.
Accessibility: We are a Disability Confident Employer. If you require reasonable adjustments or want more information on accessibility.
Data Engineer in London employer: Barnett Waddingham
Barnett Waddingham is an exceptional employer that prioritises employee growth and well-being, offering a dynamic work culture where data plays a pivotal role in driving success. With a competitive benefits package including generous holiday allowances, private medical cover, and a commitment to flexible working, employees are empowered to thrive both personally and professionally. The collaborative environment fosters strong relationships with clients and peers, making it an ideal place for early career Data Engineers to develop their skills and advance their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving SQL Server and Azure. This gives you a chance to demonstrate your expertise beyond what's on paper.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss your experience with ETL pipelines and how you've collaborated with software teams in an agile environment.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your SQL Server and Azure SQL experience, as well as any relevant projects you've worked on that showcase your data engineering skills.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our team. Mention specific tools like Azure Data Factory or your experience with ETL pipelines to show you’re a great fit for the role.
Showcase Your Analytical Skills:In your application, don’t forget to highlight your numerical and analytical skills. We love seeing examples of how you've used these skills in past roles, especially in an agile environment with software developers.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Barnett Waddingham
✨Know Your Data Tools
Make sure you brush up on your SQL Server and Azure SQL skills before the interview. Be ready to discuss your experience with ETL pipelines in Azure Data Factory, as well as any analytics tools like Tableau or PowerBI that you've used. This will show that you're not just familiar with the tools but can also apply them effectively.
✨Showcase Your Analytical Skills
Prepare to demonstrate your numerical and analytical skills during the interview. You might be asked to solve a problem or analyse a dataset on the spot, so practice explaining your thought process clearly. This will help the interviewers see how you approach data challenges.
✨Build Rapport with Stakeholders
Since building relationships with client stakeholders is key, think of examples where you've successfully collaborated with others. Share stories that highlight your ability to communicate complex data concepts in a way that's easy for non-technical people to understand. This will show that you can bridge the gap between technical and non-technical teams.
✨Embrace Agile Methodologies
Familiarise yourself with agile environments if you haven't already. Be prepared to discuss your experience working alongside software developers and how you’ve contributed to team projects. Highlighting your adaptability and teamwork will resonate well with the interviewers, especially in a fast-paced setting.
