Senior Data Engineer

Aether Biomedical; Deutschland; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Zusammenfassung

4soft is seeking a Senior Data Engineer to join the client's data engineering team and shape the data platform powering blockchain analytics. You will architect large-scale distributed data systems, mentor engineers, and take ownership from design through deployment in a cloud-based environment.

You should be proficient with Scala, Spark or Databricks, and cloud platforms (AWS, GCP, Azure), and able to communicate with technical and non-technical stakeholders in English; Polish is a plus.

Qualifikationen

• Design, build, and maintain distributed data systems in the cloud.
• Hands-on with Spark or Databricks for large-scale workloads.
• Strong Scala proficiency and software engineering fundamentals.
• Experience with cloud platforms (AWS/GCP/Azure) and data workflows.
• English at C1+; Polish at B2+ is a plus; able to communicate with global teams.

Aufgaben

• Architect large-scale distributed data systems and pipelines.
• Drive decisions across batch and streaming data solutions.
• Explore and integrate new technologies to optimize performance.
• Improve reliability, observability, and cost efficiency of data infra.
• Take ownership from design through deployment and support.
• Collaborate with engineers, product managers, data scientists, analysts.
• Mentor engineers and perform thoughtful peer reviews.

Kenntnisse

Distributed data systems

Cloud infrastructure

Scala

Mentoring

Stakeholder communication

English proficiency

Polish language

Tools

Spark

Databricks

Terraform

AWS

Jobbeschreibung

We've been building digital products for over 10 years, with a strong focus on Blockchain-based applications. At 4soft, people come first — it's our team of passionate technologists that enables us to work with international clients and deliver innovative solutions. We believe in transparency, effective teamwork, and achieving real business outcomes for those we serve.Want to work on data infrastructure that powers cutting-edge crypto intelligence products? Growth and a great team culture matter to you? 4soft is the perfect place to find both.Join our client's data engineering team - a global leader in blockchain analytics - and help drive the technical direction of a data platform that sits at the heart of everything they do. As a Senior Data Engineer, you'll architect systems that process massive blockchain and off-chain datasets, mentor engineers around you, and shape decisions that matter. If you're genuinely excited about large-scale distributed systems and want real ownership over critical infrastructure, this is your place.

Tech environment:

Scala, Spark, Databricks, AWS, Airflow, Kubernetes, Terraform, Functional Programming

As a Senior Data Engineer, you will be responsible for:

• Architecting, designing, and implementing large-scale distributed data systems and pipelines that serve as the backbone of all products
• Driving technical decision-making across batch and streaming data solutions, balancing scalability, performance, and long-term maintainability
• Exploring and integrating new technologies - data orchestration tools, cloud-native solutions - to continuously optimise performance and scalability
• Contributing to platform-wide initiatives that improve reliability, observability, and cost efficiency across the entire data infrastructure
• Taking shared ownership of data systems from design through deployment and ongoing support, ensuring they meet the growing demands of blockchain analysis
• Collaborating with engineers, product managers, data scientists, and intelligence analysts to build customer-focused features and scalable architectures
• Mentoring engineers, performing thoughtful peer reviews, and championing best practices that raise the quality bar across the team

What we expect from you:

• Proven ability to design, build, and maintain distributed data systems in a cloud-based environment
• Hands-on experience with big data frameworks such as Spark or Databricks
• Strong experience with Scala
• Solid knowledge of cloud infrastructure - AWS, GCP, or Azure
• Strong software engineering fundamentals: you write clean, testable, and efficient code, think about maintainability, and know what it means to build something others will depend on for years
• The judgement to navigate trade-offs between scalability, performance, resilience, and cost - and to communicate those decisions clearly to technical and non-technical stakeholders
• Experience or genuine interest in functional programming, data modelling, workflow orchestration, or AI-driven tools
• A learning mindset, visible in how you talk about your work: what you've built recently, what you'd do differently, and what drew you to data engineering in the first place
• English proficiency at C1 level or above (for international client collaboration)
• Polish language skills at B2 level or above (for smooth communication with the team)

Great if you also bring:

• Experience in stream processing frameworks and event‑driven architecture
• Hands‑on experience with Infrastructure as Code (Terraform, CloudFormation