At a Glance
- Tasks: Support design and development of data solutions for informed business decisions.
- Company: Join Aviva, a leading company with a collaborative and inclusive culture.
- Benefits: Competitive salary, bonus opportunities, generous pension, and 29 days holiday.
- Other info: Flexible working options and supportive policies for all backgrounds.
- Why this job: Make a real impact by optimising data pipelines and ensuring data quality.
- Qualifications: Experience with SQL, Python, and understanding of data engineering principles.
The predicted salary is between 38000 - 38000 £ per year.
As a Data Engineering Associate, you will play a key role in supporting the design, development, and maintenance of data solutions that enable business teams to make informed decisions. Working within a collaborative data engineering environment, you will help build and optimise data pipelines, ensure data quality and reliability, support data migration and integration activities, and contribute to delivering scalable, cloud-based data solutions. You will work closely with technical and business stakeholders while continuously developing your expertise in modern data engineering tools, platforms, and best practices.
Skills and experience we’re looking for:
- Strong hands‑on experience with SQL and Python for data querying, transformation, automation, and analysis.
- Good understanding of data engineering principles, including ETL/ELT pipelines, data modelling, data warehousing, and data quality management.
- Experience working with Git, cloud‑based data platforms, and modern data technologies, with exposure to CI/CD practices.
- Experience working with modern cloud‑based data platforms, data transformation frameworks, and scalable data engineering solutions is desirable.
- The ability to learn and apply new technologies quickly is important.
- Excellent analytical, problem‑solving, communication, and stakeholder management skills, with a proactive approach to learning, continuous improvement, and knowledge sharing.
What you’ll get for this role:
- Salary circa £38,000 for National based (depending on location, skills, experience, and qualifications).
- Bonus opportunity 8% of annual salary - Actual amount depends on your performance.
- Generous pension scheme - Aviva will contribute up to 14%, depending on what you put in.
- 29 days holiday plus bank holidays, and you can choose to buy or sell up to 5 days.
- Make your money go further - Up to 40% discount on Aviva products, and other retailer discounts.
- Up to £1,200 of free Aviva shares per year through our Matching Share Plan and share in the success of Aviva with our Save As You Earn scheme.
- Brilliantly supportive policies including parental and carer’s leave.
- Flexible benefits to suit you, including sustainability options such as cycle to work.
- Make a difference, be part of our Aviva Communities and use your 3 paid volunteering days to help others.
- We take your wellbeing seriously with lots of support and tools.
- We’re inclusive and welcome everyone – we want applications from all backgrounds and experiences.
- Excited but not sure you tick every box? Even if you don’t, we would still encourage you to apply.
- We also consider all forms of flexible working, including part time and job shares.
- We flex locations, hours and working patterns to suit our customers, business, and you.
- Most of our people are smart working – spending around 50% of their time in our offices every week – combining the benefits of flexibility, with time together with colleagues.
Data Engineering Associate in Norwich employer: Aviva plc
Aviva is an exceptional employer that prioritises the growth and well-being of its employees, offering a competitive starting salary of around £60,000 along with a generous benefits package including a robust pension scheme, private medical benefits, and flexible working options. The collaborative work culture fosters technical excellence and continuous improvement, allowing you to make a meaningful impact while being part of a supportive team dedicated to delivering fair outcomes for customers in challenging situations.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Associate in Norwich
✨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 Aviva plc!
✨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 Data Engineering Associate at Aviva plc.
✨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 Aviva plc.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineering Associate at Aviva plc, 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 Data Engineering Associate in Norwich
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 Aviva plc, 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 Aviva plc. 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 Aviva plc
✨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 Aviva plc!
✨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.
