Senior Big Data Engineer (AI Enthusiast)
Senior Big Data Engineer (AI Enthusiast)
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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 dont 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 worklife 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.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
