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We are seeking a professional or senior-level Analytics Engineer/Data Engineer to join our Data Intelligence & Data Modelling team.
Currently, our team consists of four Data Engineers, one Product Owner, and one Team Lead who are responsible for bridging the gap between data producers and consumers. This essentially means management of the core data layer, self-service data products, and enterprise reporting on top of an AWS-based data lake. Our team is included in a department named Analytics & Intelligence and we work closely with analysts, the data governance team, as well as the data platform department.
We are an English-speaking team and department with a major emphasis on collaboration. While we primarily work from home, we regularly meet or work from our office. We expect our new colleague to have a passion for data engineering, modelling, automation, and to enable self-service BI for analytics and other company users. In our work culture, it's important to have a growth mindset, to be a team player, and to actively engage in pair programming and knowledge sharing.
This position is available full-time or part-time.
About your new role
- You will take end-to-end responsibility for the full stack of an AWS-based core data layer and data products together with your team.
- You will support the improvement of data processing and modelling, as well as definition and reporting of enterprise KPIs.
- You will assist stakeholders and internal customers with their analyses and dashboards.
- You will solve problems and iterate on existing structures in pair or mob programming mode.
- You will explore new technologies and brainstorm solutions with our team during our weekly learning Fridays.
Requirements
Skills & Requirements
Disclaimer: You do not need to fulfill 100% of the requirements, please apply if you fulfill 75% of the must-haves.
We are completely aware that valuable experience comes in many forms. If you only partially fulfil some criteria, please apply anyway or reach out to Katharina Bergunde (team lead) on LinkedIn for clarification. We are open to unusual profiles and motivated applicants.
Must have:
- 3+ years hands-on experience in data engineering/software development/Business Intelligence/Analytics Engineering or similar - we build our data products from scratch and we expect you to participate in constructing ETL pipelines and data products from the ground up.
- Passionate about processing (big) data and experience with processing frameworks (preferred experience in Spark) and blending them into dimensional models; experience with big data architecture on AWS.
- Proficient in Spark, Python, and SQL, ideally also Scala - relevant experience in business context is desirable.
- Background or experience in analytics (ideally e-commerce, but not a must) and experience in translating business requirements into code.
- A team player with a strong growth mindset (continuous learning and development); open, honest, direct, proactive, respectful communication and feedback; proficient in English.
Is a plus, but not necessary:
- Solid understanding of good practices in software engineering (such as pair programming, testing, clean code)
- Familiar with CI/CD, TDD, GitHub and orchestration (e.g. airflow)
- Experience with containers, configuration management, and infrastructure-as-code (e.g. cdk)
- Experience of working in an agile mode (we work in scrum with the flexibility of choosing pair or mob programming or individual work on a task basis)
- Ability to communicate complex modelling and engineering topics to experts and non-experts and willingness to enable them for self-service analytics
At idealo you can expect
- You require a holiday? We provide you with 30 days of leave. Not enough? You can "buy" an additional 15 days every year by converting your salary and it's regarded as a positive action.
- You desire to further your qualifications? We take your personal development aspirations seriously and, in addition to our idealo Learning Hub, eLearning offerings (e.g., Udemy, DataCamp), coaching & mediation, we also offer you the opportunity to benefit individually from an additional learning and development budget.
- You are a parent of a child who requires daycare? Your needs are well taken care of with our company daycare facilities which enable you to remain focused on work without worrying. In addition, you receive full payment for up to 30 sick days per child per year and if you are a single parent, even up to 60 sick days.
- And what else? Of course, success has to be celebrated! Besides team events, you can expect big company events and other opportunities for social interactions with the company and your team throughout the year!
About idealo
idealo is a Berlin success story: it started in 2000 with the mission of helping consumers make the best purchasing decisions. Today, with 1.5 million visits per day, 50,000 shops, and more than 330 million product offers, we are among the most popular German e-commerce websites and one of the leading European shopping and comparison platforms. We operate as a price comparison platform in six countries (Austria, France, Germany, Great Britain, Italy, and Spain).
We're based in the heart of Berlin and provide a unique idealo spirit. Your ideas are the driving force that propels our business forward. Not only does our product portfolio vary, but the people working on it do too. We welcome you just as you are! Origin, religion, gender, sexual orientation, or a degree of disability are irrelevant.
If you are passionate about improving the world of online shopping, alongside almost 1000 idealos from 60 countries, apply with us today.
Information for applicants with severe disabilities: The advice from our Severely Disabled Representation (SBV) is available during the application process for applicants with severe disabilities. Our office is accessible without steps for the inclusion of people with disabilities.
Work in the office and from wherever you want.
idealo allows you to work from wherever you are. As part of our Hybrid Work at idealo, you decide whether and how often you work from our office in Berlin or remotely because you live in another city within
