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 engineering5+ years of experience in leading the team and being able to directly communicate with the clientData Engineering :
Proficiency with cloud ETL tools such as AWS Glue and Azure Data Factory (ADF) for building data pipelines and orchestrating workflowsHands-on experience with DBT for data transformation and modelingSolid understanding of data modeling techniques and best practices (dimensional, star schema, snowflake, etc.)Expertise in SQl for querying and manipulating large datasetsExperience building, maintaining and optimizing data pipelines and overall data platformExperience with data orchestration frameworks and tools such as AWS Lambda, Cloud Functions, and schedulers such as AirflowKnowledge of at least one popular programming language used for statistical analysis, such as Python and RExperience working with Data Lakes, Data Warehouses and Data MeshExperience with cloud-based infrastructure providers such as Amazon AWS, Microsoft Azure, or Google Cloud PlatformAI / ML :
Expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and deep learning techniquesStrong programming skills in Python, TensorFlow, PyTorch, Scikit, Pandas and other AI / ML and data science frameworksDeep understanding of machine learning algorithms, data structures, and data processing techniquesHands-on experience deploying AI / ML models into production environmentsAdditional skills :
Knowledge of reporting and data visualization best practicesFamiliarity with business intelligence tools such as PowerBI, Redash, Tableau, Periscope, and Mode AnalyticsA Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related fieldBenefits
Work in a highly professional team. Informal and friendly atmosphere in the team.Paid vacation — 20 business days per year, 100% sick leave paymentEquipment provisionPartially 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 Warsaw5 sick days per yearMedical insurance (after the end of the probationary period)Legal and Accounting support in PolandBright and memorable corporate life : corporate parties, gifts to employees on significant datesIf 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.