Data Engineer -- Jetzt bewerben

Data Engineer --

Vollzeit 43200 - 72000 € / Jahr (geschätzt)
Jetzt bewerben
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Auf einen Blick

  • Aufgaben: Join our team to develop intelligent software and data pipelines for procurement.
  • Arbeitgeber: Procure Ai is a leader in AI-driven procurement solutions, working remotely across Europe.
  • Mitarbeitervorteile: Enjoy remote work flexibility, 30 vacation days, and team offsites in Europe.
  • Warum dieser Job: Make a real impact in a collaborative environment with experienced engineers.
  • Gewünschte Qualifikationen: 3+ years in data engineering, strong in Python/Scala/JavaScript, and a relevant degree.
  • Andere Informationen: English required; German is a plus. Competitive salary with ESOPs.

Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.

We are Procure Ai, a market leader in bringing artificial intelligence and automation to the procurement process with the goal to unlock massive savings for our clients by having a high-value procurement function. We are a remote team of experienced tech and business professionals, based in Germany, UK, and France. While we enjoy collaborating remotely (and so should you), we come together for regular team offsites in Europe. We are now recruiting for an experienced Backend Engineer (m/f/d) with a strong data focus for further growth.

You will join a team of experienced senior engineers who are committed to creating intelligent software & developing code that helps make procurement more efficient. You will work on developing features for our existing software platform, for new products and creating code that integrates with third-party platforms. Our tech stack includes (but is not limited to) Python, Scala, Javascript, GO, AWS/Azure, React, Node.js.

Please note: since this is an individual contributor role, it is important you are aware of & comfortable with this setting in a remote work environment.

Impact & Ownership

  • Develop key components of our intelligent data platform for procurement in close collaboration with the team.
  • Build scalable, serverless data ingestion pipelines from structured and unstructured data.
  • Combine data engineering with backend development to transform ingested data into our procurement data graph.
  • Shape the core of our solution and work closely with our customers.

Minimum Requirements

  • You have a degree in Computer Science, Mathematics, Computer Engineering or a related field.
  • Proven experience in data engineering (at least 3 years).
  • You are advanced in at least one of the following programming languages: Python, Scala, JavaScript.
  • You have experience in building automated data ETL/ELT pipelines (e.g. Apache Airflow, Apache Spark, Databricks), quality assessment and data streams (e.g. AWS Kinesis).
  • You are experienced with different database and data warehouse concepts and have a good understanding of data modelling approaches.
  • You are a friendly, team-oriented problem solver who enjoys working in a role with lots of impact.
  • You are a self-starter who is never satisfied with the status quo; you are always thinking of how to improve existing processes and you are open to new ideas presented by others.
  • You have keen judgment, make sound independent decisions, and know how to listen to others, prioritize issues and when to escalate matters.
  • English is a must, German language skills are a plus.

Extra Credits

  • You have experience with graph databases or graph implementations in NoSQL setups.
  • You have experience to assess data quality with ML based algorithms.
  • You have hands-on experience with cloud development on AWS.

Benefits

  • A remote work environment where you can decide to work anywhere in UTC – UTC time zone plus 3 hours – allowing you maximum flexibility.
  • Join regular team offsites within Europe.
  • 30 days of vacation.
  • Up to 2 months work from anywhere (timezone-friendly though!).
  • Salary package: Depending on your experience we will make you a competitive offer including ESOPs.

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

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Data Engineer -- Arbeitgeber: Procure

At Procure Ai, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative remote work culture. With a strong focus on employee growth, we offer 30 days of vacation, flexible working hours across UTC time zones, and regular team offsites in Europe, ensuring a healthy work-life balance while empowering our team to make impactful contributions to our intelligent procurement solutions.
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Kontaktperson:

Procure HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: Data Engineer --

✨Tip Number 1

Familiarize yourself with Procure Ai's tech stack, especially Python, Scala, and JavaScript. Being able to discuss your experience with these languages in detail will show that you're a strong fit for the role.

✨Tip Number 2

Highlight any experience you have with building automated data ETL/ELT pipelines. Mention specific tools like Apache Airflow or Apache Spark to demonstrate your hands-on knowledge.

✨Tip Number 3

Since this is an individual contributor role, be prepared to discuss how you've successfully worked independently in remote settings. Share examples of how you've taken ownership of projects and driven them to completion.

✨Tip Number 4

If you have experience with graph databases or cloud development on AWS, make sure to bring that up. These skills are considered extra credits and could set you apart from other candidates.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineer --

Data Engineering
Backend Development
Python
Scala
JavaScript
ETL/ELT Pipelines
Apache Airflow
Apache Spark
Databricks
AWS Kinesis
Database Concepts
Data Warehouse Concepts
Data Modelling
Problem-Solving Skills
Self-Starter
Cloud Development on AWS
Graph Databases
Machine Learning Algorithms for Data Quality Assessment
Remote Collaboration

Tipps für deine Bewerbung 🫡

Understand the Role: Make sure you fully understand the responsibilities and requirements of the Data Engineer position at Procure Ai. Tailor your application to highlight your relevant experience in data engineering and backend development.

Highlight Technical Skills: Emphasize your proficiency in programming languages such as Python, Scala, or JavaScript. Mention any experience with ETL/ELT pipelines and cloud services like AWS, as these are crucial for the role.

Showcase Problem-Solving Abilities: Provide examples of how you've tackled complex problems in previous roles. Highlight your ability to work independently and your willingness to improve existing processes, as these traits are valued by Procure Ai.

Craft a Strong Cover Letter: Write a personalized cover letter that reflects your enthusiasm for the role and the company. Discuss why you're interested in working remotely and how you can contribute to the team’s success.

Wie du dich auf ein Vorstellungsgespräch bei Procure vorbereitest

✨Showcase Your Technical Skills

Be prepared to discuss your experience with the programming languages mentioned in the job description, especially Python, Scala, and JavaScript. Highlight specific projects where you built ETL/ELT pipelines or worked with data ingestion.

✨Demonstrate Problem-Solving Abilities

Since they are looking for a friendly, team-oriented problem solver, come ready with examples of challenges you've faced in previous roles and how you overcame them. This will show your ability to think critically and work collaboratively.

✨Understand Their Tech Stack

Familiarize yourself with their tech stack, including AWS/Azure, Apache Airflow, and Databricks. Being able to discuss how you've used these technologies in your past work will demonstrate your fit for the role.

✨Emphasize Remote Work Experience

Since this is a remote position, share your experiences working in remote teams. Discuss how you manage communication, collaboration, and productivity in a virtual environment to reassure them of your adaptability.

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