Data Engineering Manager

Amsterdam, North Holland, Netherlands

Applications have closed

albelli-Photobox Group

Make stories from your photos. Print photos online or create personalised gifts with Photobox, the photo specialists. Photo Books, Prints, Canvases, more.

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About us

albelli and Photobox Group have merged to create a leading player in the online European Photo Product and Gifting market. Together we now serve a pan-European customer base of over 7 million customers, supported by our 1,150 colleagues across the United Kingdom, the Netherlands, France, Spain, Germany, Norway and Sweden. We are focussed on inspiring our customers to easily make beautiful photo products and bring their special moments to life.

albelli and Photobox Group is the European market-leader in photo-based products serving millions of customers a year in over ten markets. While working for albelli and Photobox Group you will face exciting challenges that most other companies cannot provide. You will be learning cutting edge technologies and solving interesting technical problems on a daily basis. At the same time your work will directly affect millions of customers.

What we do

In the Data Domain we are building the data analytics enabler for the entire organisation. We’re on a mission to unify our data ecosystem, to make our data accessible and discoverable to everyone, and to keep pace with the appetite to make better decisions using data.

We’re passionate about all things data and machine learning, including best-practices like engineering excellence, data quality, automation and ML/DataOps. We work with a cloud-based Modern Data Stack, and we're building up momentum to accelerate the building and evolution of our strategic analytics platform throughout 2023 and well beyond. Our AI strategy takes our proven AI capabilities and supercharges them to position for huge improvements both for our customers and our own people.

It’s an exciting time to be joining the team; to be part of shaping the future state, with a licence to make a big impact across not just the group but the entire company.

What we need

We’re looking for a passionate and talented Engineering Manager who’s excited about building great data teams and products. Our team members bring to bear their knowledge, passion and tenacity to our data engineering space. We value participation in discussions around platform design, architecture, best practices, and all things data, but moreover people who naturally help others to learn and grow. The formation of lasting relationships within and beyond the data domain will be key to our long-term success.

Embracing a continuous improvement mindset, our data engineers routinely raise the bar on best practices, understanding how their work contributes to our mission, and in turn how that powers better decision-making throughout the company.

What will you be doing?

Reporting into the Director of Data and Machine Learning, you’ll be managing a team of 8-10 Data Engineers within our data domain. The team sits alongside other data professionals such as BI engineers, ML Engineers and product specialists. You’ll be optimising the team’s ways of working both within the team, and in respect to the other teams you’ll be interacting with. You’ll drive process improvements through data-driven experimentation and learning, and continually strive for an uptick in efficiency and effectiveness.

Forming a trusting partnership with both product and senior technology leaders, you’ll act as a force-multiplier for the team, helping to accelerate with confidence that we’re headed in the right direction and aligned with our data strategy. You’ll be a key contributor to the data platform roadmap, ensuring that technical considerations are appropriately represented.

You’ll champion an empowered team philosophy, where the team takes ownership of its deliveries and execution, and is comfortable with making decisions at the right level. A core responsibility is the wellbeing and high-functioning of the team - making sure that the individuals have a meaningful growth pathway, that the team is in good health overall, and that any roadblocks which stand between them and success are dealt with.

The core delivery responsibilities of the team broadly cover:

  • Ensuring data is available to businesses in a secure, actionable and reliable way;
  • Acquisition, integration, transformation and provisioning of data within our data platform (dbt, Snowflake, Looker)
  • Construction and orchestration of data pipelines to ingest data across a broad data landscape
  • Raising the bar on data quality, data governance, reliability and engineering excellence
  • Preparing the data sets that will ultimately deliver valuable insights to the business
  • Enabling the discovery and exploration by analysts, BI, data science and business users
  • Identifying opportunities for improvements and putting energy behind turning them into action

We are also about to embark on an initiative to integrate multiple analytics platforms into one, following a company merger in 2022.

What will success look like?

  • Bringing two teams of talented data engineers together into one, and uniting them behind a shared mission.
  • Defining a way of working that accelerates delivery, promotes experimentation, and ensures strategic alignment
  • Partnering with the Product Manager to foster strong relationships with stakeholders and bring that business context back into the team
  • Empowering the team to take ownership, and make decisions at the right level
  • Drive recruitment needs to ensure that the team is the right size and shape for success
  • Providing support and air cover when the team face challenges
  • Creating a safe space in which to experiment, learn, and celebrate the wins
  • Cultivating a growth mindset and providing meaningful feedback and coaching

Benefits

  • 24 days of annual leave with a healthy work-life balance
  • Budget for personal growth and development, including external training, courses, and conferences
  • 8 weeks out of the year to work working remotely abroad
  • An informal, fun, proactive, and inclusive culture with a social atmosphere (Friday drinks, parties, sports, etc.)
  • A central location in one of Europe’s most vibrant cities, Amsterdam!
  • A fast-growing e-commerce environment
  • An internationally diverse company of 50+ nationalities

We offer a hybrid working environment and this role is based out of our Amsterdam office, located next to Central Station with stunning views of the harbor, and the numerous canals running through the old city.

The office is spread over five floors, with ample amenities and easy walking distance to nearby shops, cafes, and restaurants.

Equal opportunities statement

We are committed to promoting equal opportunities in employment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation.

If you have a disability or special need that requires reasonable adjustments in order for you to perform at your peak during the interview, please let our HR team know ahead of time so that they can assist. We will consider the matter carefully and try to accommodate your needs within reason. If we consider a particular adjustment would not be reasonable we will explain our reasons and try to find an alternative solution where possible.

Sponsorship

We aren't able to offer sponsorship for this role so please only apply if you have the RTW in the Netherlands

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AI strategy Architecture Data Analytics Data governance DataOps Data pipelines Data quality Data strategy E-commerce Engineering Looker Machine Learning Pipelines Snowflake

Perks/benefits: Career development Conferences Flex vacation Health care Startup environment

Region: Europe
Country: Netherlands
Job stats:  14  1  0

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