Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us as a Customer Data Engineer, tackling exciting data projects and collaborating with clients.
- Company: Optimove is a leading marketing tech company, partnering with top brands like Sephora and Staples.
- Benefits: Enjoy career growth opportunities, a vibrant startup culture, and the chance to work with cutting-edge technology.
- Why this job: Be part of a fast-growing team where your contributions directly impact client success and innovation.
- Qualifications: Must have a degree in Industrial Engineering or similar, plus SQL experience and strong analytical skills.
- Other info: Ideal for multi-taskers who thrive in dynamic environments; familiarity with Python and ETL tools is a plus.
The predicted salary is between 36000 - 60000 £ per year.
Optimove is a global marketing tech company, recognised as a Leader by Forrester and a Challenger by Gartner. We work with some of the world's most exciting brands, such as Sephora, Staples, and Entain, who love our thought-provoking combination of art and science. With a strong product, a proven business, and the DNA of a vibrant, fast-growing startup, we're on the cusp of our next growth spurt. It's the perfect time to join our team of ~500 thinkers and doers across NYC, LDN, TLV, and other locations, where 2 of every 3 managers were promoted from within. Growing your career with Optimove is basically guaranteed.
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.
- Graduate with a degree in Industrial Engineering and Management or a similar major
- 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
- Familiarity with Python
- Familiarity with Airflow, ETL tools, Snowflake and MSSQL
- Hands-on with VCS (Git)
Customer Data Engineer employer: Optimove
Contact Detail:
Optimove Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Data Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in marketing technology, especially those related to data engineering. Understanding how companies like Sephora and Staples leverage data can give you insights into what Optimove values in a Customer Data Engineer.
✨Tip Number 2
Network with current or former employees of Optimove on platforms like LinkedIn. Engaging in conversations about their experiences can provide you with valuable information about the company culture and expectations for the role.
✨Tip Number 3
Brush up on your SQL skills and consider working on personal projects that involve data transformations and migrations. Being able to demonstrate your technical capabilities through real-world examples can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your problem-solving approach during interviews. Given the fast-paced environment at Optimove, showcasing your ability to think critically and adapt quickly will resonate well with the hiring team.
We think you need these skills to ace Customer Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Customer Data Engineer position. Familiarise yourself with the technologies mentioned, such as SQL, Python, and ETL tools.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your technical capabilities, particularly in SQL and data transformations, and showcase any projects that demonstrate your analytical skills.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for working at Optimove. Mention specific brands they work with and how your background makes you a great fit for their team.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is accurate and presented clearly. A polished application reflects your attention to detail.
How to prepare for a job interview at Optimove
✨Showcase Your SQL Skills
As a Customer Data Engineer, your SQL expertise is crucial. Be prepared to discuss specific projects where you've used SQL to solve complex problems or improve data processes. Highlight any unique queries or optimisations you've implemented.
✨Demonstrate Your Analytical Thinking
Optimove values strong analytical skills. During the interview, share examples of how you've approached data mismatches or challenges in previous roles. Discuss your thought process and the solutions you devised to overcome these issues.
✨Emphasise Team Collaboration
You'll be working closely with Customer Success teams and clients. Prepare to talk about your experience collaborating with cross-functional teams. Share instances where your communication skills helped bridge gaps between technical and non-technical stakeholders.
✨Prepare for Technical Questions
Expect technical questions related to ETL processes, data pipelines, and tools like Airflow or Snowflake. Brush up on these topics and be ready to explain your experience with them. If you're familiar with Python, mention how you've used it in data engineering tasks.
