At a Glance
- Tasks: Join us to build and deliver high-quality data for AI and machine learning products.
- Company: Aviva is a leading company in data innovation, serving over 19 million customers globally.
- Benefits: Enjoy a competitive salary, bonus opportunities, generous holidays, and flexible working options.
- Why this job: Be part of a collaborative culture focused on continuous learning and impactful data solutions.
- Qualifications: Experience with Python, Spark, and data engineering principles; recent grads welcome!
- Other info: Diversity is key; we encourage applicants from all backgrounds and experiences.
The predicted salary is between 34000 - 42000 £ per year.
MLOPS and Data Engineer Salary £40,000 – £50,000 Location Bristol Only Are you ready to join us in our quest to drive innovation and harness the power of data and AI across Aviva? Quantum is Aviva’s Global Data Community, with us, you will have access to data for over 19 million customers, allowing you to create truly outstanding products and deliver enhanced experiences for our customers. Quantum is dedicated to collaboration, sharing expertise and ideas, and fostering continuous learning from our data professionals. Coming together as one allows us to share data techniques more easily, rapidly re-use best practice ideas, and support your learning and development. We continually drive this learning and development culture through continuous training for all our people in the latest evolving areas such as Gen AI and Machine Learning. This year we were shortlisted for five categories at the prestigious Data IQ 2024 Awards having previously won awards in 2019 and 2020, recognising Aviva’s unwavering commitment to innovation and excellence in the field of Data and AI. A bit about the job: We believe that everything is better when we put the customer first; data & technology help us do that at scale. We leverage rich first-party data to develop insights, models and systems that deliver better customer and commercial outcomes. We combine technical expertise with a partnering approach to drive strategic change and impact. This role is Bristol based. We embrace hybrid working; we see huge value in meeting in-person to collaborate and have fun, but we also appreciate the productivity, flexibility and quality-of-life that working from home affords. As part of our transformation, we are step-changing our approach to AI/ML data products and ML Ops. Our Data Engineers will focus on robust delivery of reliable, high-quality data, which our Data Scientists will use to power their machine learning products. Hands on experience is great, however if you’re a recent graduate with a good understanding of requested languages we’d still like to hear from you. We are looking for high-performing, passionate people to help create and deliver this new approach. Diversity is essential to great data teams; we want to hear from candidates from a range of backgrounds and experiences across data engineering, or those looking to refocus. Skills and experience we’re looking for: Proven track record productionising data pipelines at scale Hands-on experience or understanding of: Python, Spark (e.g., PySpark, Spark tuning, Spark UI); Data Engineering technologies and principles (e.g., Data Lakes, Batch/Streaming); Cloud technologies and principles (e.g., Kubernetes, EMR, S3) Understanding of ML principles (e.g., feature engineering, training/testing, hyperparameters, deep learning, model management) Agile mindset and experience with JIRA and Confluence Experience with Marketing technology (e.g., Adobe) What you’ll get for this role: Our purpose – with you today, for a better tomorrow – is a promise we make to our colleagues too. And one of the ways we live up to that promise is by investing in you. We have so much to offer when it comes to being an Aviva colleague. Salary between £40,000 – £50,000 ( depending on location, skills, experience, and qualifications). Bonus opportunity – 8% of annual salary Actual amount depends on your performance and Aviva’s. 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. Take a look to learn more. Put a salary into this calculator to see what your total Aviva Reward could be. Aviva is for everyone: 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. To find out more about working at Aviva take a look here We interview every disabled applicant who meets the minimum criteria for the job. Once you’ve applied, please send us an email stating that you have a disclosed disability, and we’ll interview you. We’d love it if you could submit your application online. If you require an alternative method of applying, please give Sahra Abdulla a call on 07775 042 835 or send an email to sahra.abdulla@aviva.com .
MLOPS and Data Engineer employer: Aviva
Contact Detail:
Aviva Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MLOPS and Data Engineer
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as Python, Spark, and cloud technologies like Kubernetes and S3. Having hands-on experience or even a solid understanding of these tools will set you apart from other candidates.
✨Tip Number 2
Showcase your understanding of ML principles, especially in areas like feature engineering and model management. Being able to discuss these concepts during an interview will demonstrate your readiness for the role.
✨Tip Number 3
Highlight any experience you have with Agile methodologies and tools like JIRA and Confluence. This will show that you can thrive in their collaborative environment and adapt to their workflow.
✨Tip Number 4
Emphasize your passion for data engineering and your eagerness to learn. Aviva values high-performing individuals who are committed to continuous learning, so expressing your enthusiasm for the field can make a strong impression.
We think you need these skills to ace MLOPS and Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the MLOPS and Data Engineer position. Familiarize yourself with the technologies mentioned in the job description, such as Python, Spark, and cloud technologies.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job description. Emphasize any hands-on experience with data pipelines, machine learning principles, and agile methodologies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of Aviva's mission. Mention specific projects or experiences that demonstrate your ability to deliver high-quality data solutions.
Highlight Your Learning Mindset: Since Aviva values continuous learning, mention any recent courses, certifications, or self-study efforts related to data engineering, AI, or machine learning. This shows your commitment to professional growth and aligns with their culture.
How to prepare for a job interview at Aviva
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Python, Spark, and data engineering principles. Highlight specific projects where you've successfully implemented data pipelines or worked with cloud technologies like Kubernetes or S3.
✨Understand ML Principles
Familiarize yourself with machine learning concepts such as feature engineering, model management, and hyperparameters. Be ready to explain how these principles apply to the role and how you can contribute to the team’s success.
✨Demonstrate an Agile Mindset
Since the company values an agile approach, be prepared to discuss your experience with tools like JIRA and Confluence. Share examples of how you've adapted to changes in project requirements or collaborated effectively in a team setting.
✨Emphasize Collaboration and Learning
The role emphasizes collaboration and continuous learning. Talk about your experiences working in teams, sharing knowledge, and how you stay updated with the latest trends in data engineering and AI/ML.