At a Glance
- Tasks: Develop and support data transformations while collaborating with clients and internal teams.
- Company: Join Optimove, a visionary tech company revolutionising marketing with AI-powered solutions.
- Benefits: Enjoy a hybrid work model, daily lunch budget, and a vibrant office culture.
- Other info: Be part of a supportive workplace recognised as one of the UK’s Best Workplaces in Tech.
- Why this job: Shape your role, grow your skills, and make a real impact in a fast-paced environment.
- Qualifications: 1-3 years in a technical client-facing role or a STEM graduate; SQL expertise required.
The predicted salary is between 34650 - 42350 £ per year.
At Optimove, we believe people are capable of more than a single job description. You’re not hired just to fill a position- you’re empowered to shape it, grow it, and make it your own. We call this being Positionless. And Positionless isn’t just our culture. It’s our product. Optimove is the creator of Positionless Marketing, an AI-powered platform that gives every marketer the power to analyze, create, launch, and optimize independently. The result is faster execution, deeper personalization, and 88% greater campaign efficiency. Recognized as a Visionary in Gartner’s Magic Quadrant, we partner with leading brands like Sephora, Staples, and Entain. Today, more than 500 Optimovers across NYC, London, Tel Aviv, Scotland, Brazil, Estonia, and beyond are building the future of marketing together, in an environment that actively encourages ownership and growth, with two out of every three managers promoted from within. If you’re looking for a place where you can do more, be more, come grow with us.
About the Role
As a Customer Data Engineer, you will be a part of a strong energetic and fast-growing global team. You will be an integral part of clients' ongoing data requests and projects. You will be working closely with internal CSM teams as well as interacting directly with clients’ data teams across different business verticals. Your core responsibilities will involve playing an active role in collaborating with internal teams to construct tailored data transformations and manipulations while working with top-notch technology (Cloud tech etc.) The ideal candidate is an SQL whiz with a strong work ethic, robust analytical and technical capabilities, and highly effective time management skills. We are looking for a master multi-tasker who thrives in challenging, fast-paced environments, with agility and ease. The Customer Data Engineer is a position that brings with it an excellent opportunity to learn and grow within a rapidly expanding company on the cutting edge of Martech.
Responsibilities:
- Develop and support a wide range of data transformations and migrations
- Construct custom ETL processes: Design and implementation of data pipelines and data marts, access versatile data sources, and apply data quality measures
- Investigate data mismatches and apply solutions
- Work side by side and support the Customer Success teams in order to meet customer business needs.
- Interact with clients to understand business needs and collaborate on project scopes, planning, and execution.
Requirements:
- 1-3 years of experience in a similar technical client-facing position, OR graduate with a degree in STEM
- Experience with databases and SQL - a Must
- Outstanding technical and analytical skills
- Highly motivated with an exceptional work ethic
- High attention to detail with an ability to work on multiple projects simultaneously
- Strong interpersonal and communication skills
- Quick, self-learning capabilities and creativity in problem-solving
This is a hybrid role, and you will be required in our Dundee office 2 days per week. Must be eligible to work in the UK – we are unable to provide sponsorship at this time.
Preferred:
- Familiarity with Python
- Familiarity with Airflow, ETL tools, Snowflake and MSSQL
- Hands-on with VCS (Git)
- Genuinely curious and already reaching for AI tools to work smarter (or itching to). This matters to us more than it might elsewhere.
Optimove offers a vibrant, people‑first culture where innovation, ownership, and continuous learning shape everything we do. Our UK team enjoys a modern office with a hybrid work model, daily lunch budget when onsite, and a fully stocked kitchen, along with a wide range of social events throughout the year. We’re committed to helping our people grow in an inclusive, supportive workplace recognised as one of the UK’s Best Workplaces in Tech and for Wellbeing. Optimove is an equal opportunity employer. We consider all qualified applicants fairly, without regard to race, ethnicity, gender, age, religion, disability, sexual orientation, or any other characteristic protected by applicable law. If you require any adjustments during the recruitment process, please let us know. By submitting this application, you agree that Optimove will process your personal data in accordance with applicable data protection laws, including GDPR.
Customer Data Engineer in Dundee employer: Optimove
At Optimove, we foster a vibrant, people-first culture that empowers our employees to take ownership of their roles and grow within the company. As a Customer Success Manager in our Dundee office, you'll benefit from a hybrid work model, a daily lunch budget, and a fully stocked kitchen, all while being part of a team recognised as one of the UK’s Best Workplaces in Tech. With a strong focus on innovation and continuous learning, we provide ample opportunities for professional development in an inclusive environment that values every individual.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Data Engineer in Dundee
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We think you need these skills to ace Customer Data Engineer in Dundee
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!
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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.
