Head of Data Engineering and AI

7 dni temu


Warsaw, Polska MIRA- Search Pełny etat

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.


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