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Head of Data Engineering
hace 3 meses
As the leader of our data engineering department, you will play a critical role in shaping our data infrastructure and strategy while leading and mentoring a team of data engineers.
Your expertise will be instrumental in driving our data-driven initiatives and ensuring the efficient management and utilization of data across the organization.
IOMED's Approach.As an employer, we offer equal opportunity.
We want to grow our team with talented, dynamic people who want to make their mark in the field of AI and research, regardless of race, color, religion, national origin, gender, physical disability, or age.
TareasWhat we expect you to do.
You will have to feel comfortable giving support to the rest of the team and you can definitely expect to:
- Define and execute a roadmap for data engineering initiatives along with the CTO & Product Development teams, aligning with business objectives and priorities.
- Design and maintain a scalable and robust data architecture that supports data integration, storage, processing, and retrieval. Determining the right tools for the right jobs and ensuring quality & monitoring of all our data pipelines.
- Establish and enforce data governance policies, ensuring compliance with data privacy regulations and best practices for data security.
- Monitor the existing metrics, analyze data, and collaborate with other teams in an effort to identify and implement system and process improvements.
- Oversee activities of the data engineering team and provide guidance, ensuring proper execution of their duties and alignment with business vision and objectives.
Requisitos:
What we expect from you.
At least 10 years of working experience working in a data engineering department, preferably with at least 5 as a Lead Data Engineer in a fast-paced environment and complex business.
- Setting and a demonstrated experience in building and maintaining reliable and scalable ETL.
- Experience in data warehousing inclusive of dimensional modeling concepts and demonstrate proficiency in programming (SQL and Python will be your main tools of the trade).
- Proven skills of putting microservices to use, and you're comfortable with working with containers in a cluster architecture.
- Work well in a team, can teach & learn from others, and communicate what you're working on with nontechnical team members.
- Experience providing leadership, guidance, and mentorship to a team of data engineers, fostering a culture of collaboration, continuous learning, and professional growth.
Also, you will be working in a very dynamic environment, which means that you must have a strong problem-solving ability, organization skills, and be proactive.
What we offer
- Competitive salary
- Permanent contract.
- Company profitsharing scheme valued at up to €20,000 per year.
- Flexible remuneration with restaurant tickets, transport tickets, nursery, training, and medical insurance.
- Hybrid working model and flexible schedule.
- Flexible schedule, with the possibility of home office.
- 28 days of vacations per year.
- A warm, transparent and supportive team, with a huge emphasis on worklife balance.
- The opportunity to make your mark in ehealth and AI.
Our Healthcare Data Activation technology unlocks data from both structured and unstructured sources, including human-written records, thanks to our Natural Language Processing System.
This data is standardized into OMOP Common Data Model, and never leaves hospitals' in-house systems, thanks to our Federated Data Model, enabling healthcare organizations to have activated and readily usable data while maintaining its protection and security.
