(Senior) Data / Analytics Engineer

mobile.de; Berlin; Vor Ort; EUR 65.000 - 90.000; Vollzeit

Zusammenfassung

mobile.de is looking for a highly skilled (Senior) Data / Analytics Engineer to transform data operations. This role involves designing a top-notch data platform, collaborating with teams, and utilizing advanced BI tools to support decision-making processes. You'll work in a diverse environment where innovation thrives, contributing to the future of mobile.de.

Leistungen

28 days paid time off

€50 monthly transportation allowance

Development budget for training

Up to 20 days work from anywhere

24/7 Employee Assistance Programme

Qualifikationen

• 5+ years experience in a BI Engineer or similar role required.
• Advanced SQL knowledge is essential.
• Experience in cloud data environments like GCP preferred.

Aufgaben

• Collaborate with Analytics Team to address data needs.
• Design and build cloud-based BI solutions.
• Educate users to effectively use data tools.

Kenntnisse

Business Intelligence

Data Warehouse

SQL

Data Modelling

Creative Problem Solving

Ausbildung

5+ years in a BI Engineer or related role

Tools

Looker

Tableau

DBT

Airflow

Java

Jobbeschreibung

Join to apply for the (Senior) Data / Analytics Engineer role at mobile.de

Join to apply for the (Senior) Data / Analytics Engineer role at mobile.de

Founded in 1996, mobile.de disrupted the status quo of buying and selling cars as the first online vehicle marketplace.

Today, we are Germany's largest vehicle marketplace with around 1.4 million listed cars, commercial vehicles, motorcycles and e-bikes. Both private customers and more than 40,000 registered vehicle dealers use the platform and benefit from 108 million customer visits per month. As a “one-stop shop”, mobile.de's offering includes financing and leasing solutions in addition to buying and selling - and we will not stop innovating. If you are driven by an eagerness to learn and a passion for collaboration then we should get to know each other.

mobile.de is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.

If you feel like you don’t meet all of the requirements for this role but are interested, please consider applying anyway. We strongly encourage people from historically excluded groups to apply.

What We Offer

Meaningful Work: We are a diverse, international, highly skilled and passionate team committed to a world where people share more and waste less. Every day you will have the opportunity to make a huge difference for our users, customers as well as shape the future.

Embracing AI: We're at the forefront of integrating cutting-edge AI technologies into our operations. Being part of mobile.de you will work with and learn about AI tools, contributing to projects that leverage AI to enhance efficiency, improve customer experiences, and drive our mission forward. With an AI-first mindset, we foster a culture of continuous learning and experimentation, empowering our team to explore and apply AI in meaningful ways for the company and themselves.

Growth and Development: We are a global organisation who truly believes in growing our people. To support this we offer lots of development and training opportunities and provide a budget for our team members.

Connection and Inclusion: Our culture is the glue that holds us together. We believe in making meaningful connections and creating an inclusive atmosphere with lots of opportunities to connect both in your day to day work and through social team activities (online and offline).

What You’ll Do & Who You Are

We are looking for a highly skilled (Senior) Data / Analytics Engineer (d/f/m) to become part of the mobile.de Data Engineering team.

Our team transforms the way mobile.de works with data by guiding other teams, driving standards and providing easy access to high-quality & unified data for all our colleagues. By joining us you will help drive faster, better decision making and create products that bring more value to our customers. If you are passionate about designing and implementing a state-of-the-art data platform that brings direct value to everyone in our company, you are exactly who we are looking for.

As a team we are crazy about data and technology – but since we spend 8 hours a day together we want to have some fun as well. We take time for regular socialising opportunities to keep up the spirit with activities like regular mood check-ins, game sessions, themed video call backgrounds or outside 1:1s. As a result we have a friendly, open team dynamic and enjoy working together to push our company’s limits!

Your Responsibilities

• Collaborate with our Strategic Analytics Team to understand their data needs and how to best meet them
• Design and build a fast-access, integrative cloud-based Business Intelligence solution together with our team’s engineers
• Assemble and understand the requirements of Business Analysts and Senior Management and translate them into data access layers to enable data access in a fast and easy way.
• Develop a deep understanding of mobile.de’s business model, the automotive marketplace ecosystem, and the strategic priorities of a private equity-owned company.
• Decide together with data and analytics teams on our strategy, initiatives, and prioritisation and create a fluid, end-to-end vision of how data will flow through our organisation
• Educate, train and support users to empower them to use data and tools in the best way for insights generation and decision making
• Work in a diverse environment that leverages state-of-the-art technologies from on-premise and cloud-based platforms
• Be part of and help grow our diverse and multicultural Data and Analytics Team
  
  

Your Profile

• You have 5+ years of demonstrated ability in a BI Engineer, Data Warehouse /Modelling Expert or similar role with business sense and a focus on analytics requirements
• Basic understanding of financial and strategic concepts, particularly in the context of private equity-backed companies.
• Ability to think critically and creatively, offering alternative solutions to strategic challenges.
• Proven ability to manage and prioritize multiple ad-hoc requests in a fast-paced environment.
• Advanced data industry knowledge and understanding how data is collected, analysed and utilised
• Experience with BI tools like Looker, Tableau, Thoughtspot or similar.
• Advanced SQL knowledge
• Experience with Python, Scala or Java is a plus
• Experience with cloud data warehouses like BigQuery, Snowflake or Redshift
• Creative problem solver who approaches high-level data challenges with a clear eye on what is important and employs the right approach/method to fulfil the requirements of your customers
• Effective communicator who carefully listens to their stakeholders to come up with the best data design and be able to explain complex concepts to non-technical colleagues
  
  

What Will Make You Stand Out

• Cloud environments are not scary for you, we work in GCP
• You’ve been working with DBT and Airflow and have experience with ingesting data from external sources
• Quantitative and qualitative data analysis experience with demonstrated impact to a business, a track record of creative problem solving and the desire to create and build new processes
• Strong experience with Data Modelling from conceptualization to database optimization (e.g. Star Schema, Data Vault)
• Knowledge of data visualisation, dashboarding and exploration tools (e.g. Looker)
• Prior experience in a consultancy environment, with exposure to strategic projects and cross-functional collaboration.
  
  

Benefits

Working at mobile.de comes with its perks! Enjoy the following benefits:

• Recharge with 28 days of paid time off.
• Stay mobile with a €50 monthly transportation/mobility allowance.
• Keep growing with a development budget and access to coaching.
• Family first - enjoy up to 12 (non-birth parent) or 20 (birth parent) weeks of fully paid parental leave.
• Learn anytime, anywhere with our online and offline library.
• Get rewarded with an attractive base salary and participation in our annual incentive plans.
• Work from anywhere - up to 20 days per year from wherever you feel most productive.
• Prioritize your well-being with a 24/7 Employee Assistance Programme for you and your immediate family.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Technology, Information and Internet

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