How do you make our customers happy?
As a Senior Analytics Engineer, your customers are all analytics consumers within the Partner Domain, from Partner Networking Analysts to Product Analysts close to our API teams. Everyone who consumes data from your analytics layer is your best friend.
You take ownership of building and evolving a trusted, scalable analytics layer, enabling teams to make decisions confidently. You partner closely with business, product, and tech to ensure a single source of truth for performance metrics, campaign insights, and advertiser behavior.
Your primary focus will be within the Partner (e-commerce) domain, while remaining flexible to contribute across other domains (Customer, Advertising, Finance) as priorities evolve.
The biggest challenge
Scaling fast while keeping our data foundations clean, consistent, and future proof.
You operate across a broad analytics scope, deciding where to enforce standards and where to empower analysts with flexibility. You work cross-functionally — as part of the Analytics Engineering craft and embedded in a domain team — balancing long-term platform quality with immediate business needs.
At the same time, you integrate AI and agent-driven workflows into how data is built and consumed, while proactively managing performance and cost, which can scale exponentially if left unmanaged.
What you do as Analytics Engineer
You are senior analytics engineer who can take high-level direction from a domain lead (e.g. Head of Analytics) and translate it into scalable solutions and tangible impact. In this role you will also be closely collaborating with your fellow analytics engineers within the Analytics Engineering team. You bring knowledge from the domain to the central craft and bring scalability back to the domain.
You will:
Design and build end-to-end dbt data models, from raw ingestion to domain-level marts
Own and improve pipeline performance, cost efficiency, and reliability
Build and maintain robust data infrastructure (e.g. Airflow, CI/CD pipelines)
Define and monitor data quality, testing, and documentation standards
Partner with analysts and product teams to translate ambiguous needs into structured data solutions
Drive best practices and standards across teams and domains
Act as a technical owner for the health of your data products
Why you can make the difference
Because you bring technical depth, ownership mindset, and a real connection with our analytics consumers within the company.
You’re not just implementing solutions, you are responsible for ensuring they scale, perform, and deliver value. You understand trade-offs between speed, cost, and quality, and you proactively steer towards the right balance.
You’re curious about the business, comfortable with ambiguity, and able to operate independently while aligning stakeholders.
What we expect from you
~5 years of experience in Analytics Engineering, Data Engineering, or a similar role
Proven ability to work autonomously and own problems end-to-end
Strong experience with SQL, dbt, and modern data stack principles
Experience with data modeling at scale and supporting multiple use cases
Understanding of data platform performance and cloud cost optimization
Ability to translate business needs into technical solutions without detailed guidance
Comfortable working across teams and domains
3 reasons why this is (not) for you
Switch to find out
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No,
You need detailed instructions to move forward
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No,
You focus only on building, not on maintaining and optimizing
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No,
You prefer narrow scope over end-to-end ownership
+
Yes,
You take ownership beyond delivery: performance, cost, and usability matter to you
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Yes,
You can operate independently from a high-level problem statement
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Yes,
You enjoy working in a domain but can flex across multiple areas when needed
Perks of having a blue heart
Discover all perks
Bonus
The bonus is calculated at the end of the year and we always end the year with a fun party!
Flexible working
We bring the best of both worlds together by working 50% at the office and 50% at home. This way, we find a balance between organisational and individual needs.
On and off
At bol we understand like no other that you have to take care of yourself first, then your environment and then bol. In that order. Therefore, everyone at bol receives 29 days of vacation.
The internal application process
So you’ve found an exciting opportunity within bol! Here’s what happens next:
Your application
We carefully review your application and will get back to you soon to let you know if we’re moving forward. We aim to get in touch with you as soon as possible.
First contact
If you're invited to an interview, we’ll reach out to schedule a meeting. This is also your chance to ask any questions you may have about the role, the team, or the process.
The interview
In this conversation, we’ll get to know each other better. We’ll discuss your experience, skills, and how you contribute to our shared mission. We’ll also explore whether the role aligns with your ambitions and how you embody bol’s Leadership Behaviours. Depending on the role, a second interview may follow.
Is it a match?
If we both feel it’s the right fit, we’ll make you an offer and discuss the next steps. Time to start your next chapter at bol!
Any questions?
I'm Monika Myslinska, Recruiter at bol. Anything I can help you with regarding the Analytics Engineer - Partner vacancy?
Get in touch!
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