Senior Big Data Engineer (AI Enthusiast)

StepStone Group; Deutschland; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading tech company in Germany is looking for a Senior Big Data Engineer to design cutting-edge data platforms and AI tools that enhance recruitment processes. The ideal candidate will have extensive experience in Python, AWS, and Big Data architectures. The role supports hybrid work and promotes an inclusive workplace culture that values diverse perspectives and professional growth.

Leistungen

Premium medical and dental care

Flexible working hours

Employee Referral Program

Hackathons and Knowledge Sharing Hours

English/German language classes

Qualifikationen

• 5+ years of professional experience in Python for large-scale data applications.
• 3+ years of experience with AWS cloud services.
• 2+ years of experience in Big Data architecture and ETL/ELT pipelines.

Aufgaben

• Design and build modern big data platforms and AI-powered tools.
• Implement and optimize high-performance data pipelines and real-time applications.
• Collaborate and mentor in an international, agile, cross-functional team.

Kenntnisse

Communication skills in English (B2+)

Passion for data and AI

Python expertise

AWS experience

Big Data architecture

Apache Kafka

Tools

Apache Kafka

Apache Spark

Terraform

Jobbeschreibung

Company Description

At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for job seekers and companies around the world to find a perfect match, in a fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring, and we are particularly focused on building a diverse, inclusive workforce.

At our Tech Hub, located near Wilanowska Metro, we are over 300 passionate and driven specialists who work on the development of our IT products. We are proud to be part of The Stepstone Group, a global leader in job-tech platforms and e-recruiting.

Join our team of 4,000+ employees and help us reshape the labour market. Together, we will create a future where everyone-regardless of background-has equal opportunities in the job market.

Job Description

As a Senior Big Data Engineer and AI Enthusiast, you will join the Marketplace Enablement department, working inside a cross-functional team to design and implement cutting-edge, high-performance central streaming data products that power our recruitment AI applications, including deploying advanced machine learning models.

Your expertise will help create a more inclusive and efficient recruitment experience globally, directly supporting our mission to reshape the labour market for everyone. You will have a strong sense of ownership and proactively provide solutions before a situation deteriorates.

Your Responsibilities

• Lead the design and build of modern big data platforms and AI-powered tools that promote fair and inclusive hiring.
• Champion code quality by applying best practices like clean code, automated testing, CI/CD, observability, security, and Federated Governance.
• Design, implement, and optimize high-performance data pipelines and real-time applications using tools like Apache Kafka and Apache Spark.
• Manage and optimize complex ETL/ELT processes and data orchestration workflows.
• Continuously evaluate, improve, and scale our data infrastructure, advocating for new technologies and architectural patterns.
• Collaborate and mentor in an international, agile, cross-functional team, helping others grow and succeed.
• Contribute to building an inclusive team culture where every voice is valued.
• Work in a collaborative environment that values diverse perspectives and inclusive decision-making.

Qualifications

Your Skills & Qualifications

• Excellent communication skills in spoken and written English (B2+ level).
• Genuine passion for leveraging data and AI to solve complex problems and make a tangible impact.
• Deep expertise and proven track record in Python for building large-scale data and backend applications (5+ years professional experience).
• Strong experience with AWS cloud services (e.g., EMR, Glue, ECS with Docker, Redshift, DynamoDB, S3) and understanding of cloud-native architectures (3+ years).
• Professional experience in Big Data architecture, Data Warehousing, designing complex ETL/ELT pipelines, and data pipeline orchestration (2+ years).
• Solid experience with Apache Kafka (MSK) for real-time data ingestion and processing (1+ years).
• Familiarity with Infrastructure as Code (Terraform) and Huggingface Transformers (considered a plus).
• We value different career paths - if you have taken career breaks, switched disciplines, or balanced work with family life, we still encourage you to apply.

If you don't meet every single requirement but are excited about this role, we still would love to see you applying :)

Additional Information

We believe in supporting our team members both inside and outside the office. We strive to ensure that your job enriches your life. Here are just some of the benefits we offer:

• Premium medical and dental care
• Life insurance
• Flex Benefits - Worksmile Cafeteria System (Multisport, vouchers, tickets, etc.)
• Employee Referral Program
• Hackathons, Knowledge Sharing Hours, In-house projects
• Tech and sport communities
• Events and integration parties
• Charity initiatives, including 2 extra volunteer days
• English/German language classes
• A supportive and inclusive workplace that promotes professional and personal growth for everyone
• Flexible working hours and hybrid work model to support work-life balance.

Our commitment
At The Stepstone Group, diversity and inclusion are key to our success. We encourage applications from everyone, regardless of gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, or any other characteristic. We are particularly passionate about attracting more women into tech and leadership roles and provide an environment that supports your growth. We offer mentoring and support networks to help women and underrepresented colleagues grow into senior and leadership roles.