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- Aufgaben: Join a dynamic team to optimize and analyze large datasets for impactful business solutions.
- Arbeitgeber: Be part of a groundbreaking marketplace startup based in Berlin, redefining global supply chains.
- Mitarbeitervorteile: Enjoy entrepreneurial freedom, competitive compensation, and collaboration with top-tier investors.
- Warum dieser Job: Work on innovative data strategies in a fast-paced environment with a mission-driven team.
- Gewünschte Qualifikationen: Bachelor's degree in Computer Science or related field; experience in data engineering and machine learning required.
- Andere Informationen: Must be eligible to work in the EU; remote work options are not mentioned.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
About the Job
We’re looking for an experienced Senior Data Engineer (m/f/d) to join our portfolio company and support the team in their data strategies.
In your day-to-day work, you will work alongside a group of highly ambitious and knowledgeable Engineers, while being faced with complex problems.
Join our portfolio company: Founded in 2021 with its HQ in Berlin/Germany, the company runs a trailblazing marketplace that redefines one of the largest supply chains on earth. The company’s mission is to unlock the vast potential of cross-border supply for the Western Market by providing global access to high-quality products through their innovative platform. Since the launch in January 2022, the firm has operated discreetly with no public profile or media coverage while it has already successfully served hundreds of companies.
In this role, you’ll:
- Craft, clean, and optimise large datasets to make them useful for various business use cases
- Collaborate with stakeholders to understand business needs and translate them into actionable data intelligence solutions
- Utilise machine learning techniques to extract insights and predictive analytics from data
- Design and implement solutions for processing and analysing data in real-time to support dynamic business needs and decision-making processes
- Analyse repetitive and predictive tasks in after-sales processes to understand customer behavior, predict future needs, and automate routine tasks
- Lead the development of a robust data platform including data store, pipeline architecture, and data warehouse infrastructure
Your Profile
- Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred
- Proven experience in data engineering, particularly with big data technologies and platforms
- Strong proficiency in machine learning techniques and statistical analysis
- Hands-on experience with real-time data processing frameworks such as Kafka or Spark
- Proficiency with data platform development and cloud-based technologies, preferably with exposure to Databricks
- Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment
- Familiarity with buyer experience optimisation strategies including catalog management and pricing algorithms
- Ability to adapt to a fast-paced, dynamic environment and drive results in a rapidly evolving organization
Please note that we are looking for support in the Berlin office of our portfolio company. Eligibility to work within the EU is required as well.
Benefits and Perks
- Fulfil a role with entrepreneurial freedom and take a pre-validated business model to the next level
- Join an experienced founding team of serial and 2nd time founders
- Attractive base and bonus compensation program
- Collaboration with top tier investors and angles (incl. various unicorn founders) as well as leading market experts
Apply below and become a part of our success story!
Our Commitment to Diversity and Inclusion
Project A is committed to diverse and equal opportunities hiring for all – applicants, candidates, and employees alike. We value humans – with all our glorious multifaceted backgrounds, perspectives, and experiences – and look forward to your application.
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Senior Data Engineer (m/f/d) Arbeitgeber: Project A Ventures
Kontaktperson:
Project A Ventures HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Data Engineer (m/f/d)
✨Tip Number 1
Familiarize yourself with the specific big data technologies mentioned in the job description, such as Kafka and Spark. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Highlight any experience you have with machine learning techniques and statistical analysis. Be prepared to discuss how you've applied these skills in real-world scenarios, especially in relation to data processing and predictive analytics.
✨Tip Number 3
Since the role involves collaboration with cross-functional teams, think of examples where you've successfully worked with different stakeholders. Being able to communicate effectively and translate business needs into actionable data solutions is crucial.
✨Tip Number 4
Research the company’s mission and recent developments since its launch. Understanding their innovative platform and how it impacts the supply chain will help you align your skills and experiences with their goals during discussions.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Engineer (m/f/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements for the Senior Data Engineer position. Tailor your application to highlight relevant experiences that align with these aspects.
Highlight Relevant Experience: In your CV and cover letter, emphasize your proven experience in data engineering, particularly with big data technologies and platforms. Mention specific projects or achievements that demonstrate your proficiency in machine learning techniques and real-time data processing frameworks.
Showcase Collaboration Skills: Since the role involves working in a cross-functional team environment, provide examples of how you've successfully collaborated with stakeholders in previous roles. Highlight your communication skills and ability to translate business needs into actionable data solutions.
Express Your Adaptability: The company is looking for someone who can thrive in a fast-paced, dynamic environment. In your application, share instances where you've adapted to changing circumstances or driven results in rapidly evolving situations.
Wie du dich auf ein Vorstellungsgespräch bei Project A Ventures vorbereitest
✨Understand the Company’s Mission
Before your interview, make sure you understand the company's mission and how it aims to redefine supply chains. This will help you align your answers with their goals and demonstrate your interest in their work.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with big data technologies, machine learning techniques, and real-time data processing frameworks like Kafka or Spark. Provide specific examples of projects where you've successfully applied these skills.
✨Emphasize Collaboration
Since the role involves working closely with stakeholders, highlight your communication and collaboration skills. Share examples of how you've effectively worked in cross-functional teams to achieve common goals.
✨Prepare for Problem-Solving Questions
Expect to face complex problems during the interview. Practice articulating your thought process when tackling data-related challenges, and be ready to discuss how you would approach optimizing datasets or automating tasks.
