We are MIRA Search, an international HR agency and we help our customers to find the best professionals!
Now we are looking for the Head of Data Engineering & AI for our clients.
About:
Our client is a forward-thinking technology company specializing in creating innovative software and digital solutions that drive scalable growth for our clients. We are seeking a highly experienced and visionary Head of Data Engineering & AI to lead and develop our teams working on our core products, Olympus and Pantheon.
The Opportunity:
As the Head of Data Engineering & AI, you will spearhead the strategy and execution of our data engineering and AI initiatives across the company. This is a pivotal role where you will lead teams that build the infrastructure and models supporting our Fintech (Olympus) and AI-powered Virtual World (Pantheon) platforms.
Key Responsibilities:
• Lead and mentor data engineering and AI/ML teams, fostering a culture of innovation and excellence.
• Architect and implement scalable data solutions, focusing on maintainability and performance.
• Enhance existing reporting mechanisms to drive data-informed decision-making.
• Develop and integrate tools that empower our data analysts and scientists.
• Directly oversee the development, deployment, and fine-tuning of AI models (including BERT, Claude, etc.).
• Ensure best practices are implemented in our utilization of cloud platforms (AWS, Azure, GCP), data lakes, and warehouses.
Requirements
Skills and experience:
- 8+ years of experience in data engineering and/or cloud/web engineering
- 5+ years of experience in leading the team and being able to directly communicate with the client
Data Engineering:
- Proficiency with cloud ETL tools such as AWS Glue and Azure Data Factory (ADF) for building data pipelines and orchestrating workflows
- Hands-on experience with DBT for data transformation and modeling
- Solid understanding of data modeling techniques and best practices (dimensional, star schema, snowflake, etc.)
- Expertise in SQl for querying and manipulating large datasets
- Experience building, maintaining and optimizing data pipelines and overall data platform
- Experience with data orchestration frameworks and tools such as AWS Lambda, Cloud Functions, and schedulers such as Airflow
- Knowledge of at least one popular programming language used for statistical analysis, such as Python and R
- Experience working with Data Lakes, Data Warehouses and Data Mesh
- Experience with cloud-based infrastructure providers such as Amazon AWS, Microsoft Azure, or Google Cloud Platform
AI/ML:
- Expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and deep learning techniques
- Strong programming skills in Python, TensorFlow, PyTorch, Scikit, Pandas and other AI/ML and data science frameworks
- Deep understanding of machine learning algorithms, data structures, and data processing techniques
- Hands-on experience deploying AI/ML models into production environments
Additional skills:
- Knowledge of reporting and data visualization best practices
- Familiarity with business intelligence tools such as PowerBI, Redash, Tableau, Periscope, and Mode Analytics
- A Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Benefits
- Work in a highly professional team. Informal and friendly atmosphere in the team.
- Paid vacation — 20 business days per year, 100% sick leave payment
- Equipment provision
- Partially compensated educational costs (for courses, certifications, professional events, etc.)
- English and Polish classes 2 times a week (online)
- Ability to work from our comfortable office in Warsaw
- 5 sick days per year
- Medical insurance (after the end of the probationary period)
- Legal and Accounting support in Poland
- Bright and memorable corporate life: corporate parties, gifts to employees on significant dates
If you'd like to work with us, having a PBH visa/Karta pobytu/Paszport Polski is obligatory to be considered for this position.
Dear Candidates, due to a high volume of applications, only selected candidates will be contacted for interviews. We appreciate your understanding. Thank you for considering a career with us.
