Data Engineering Manager
albelli-Photobox Group, Spain
Job Description
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