Senior Data Engineer
Pisa, Roma
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Permanent — employment source
Employment type in the employer’s listing: Permanent employee
From the employer’s posting
What you’ll work on
Full postingDesign, develop and maintain structured data analysis pipelines
Work with stakeholders to understand data needs and provide solutions
Ensure data integrity and security
Support and mentor junior data engineers
From the employer’s posting
The role entails the design, development, and maintenance of structured data analysis pipelines
working closely with stakeholders to understand their data needs and provide solutions
ensuring data integrity and security
supporting and mentoring junior data engineers
What you’ll bring
All qualificationsCore experience
- Master's degree in Computer Engineering, Data Science, Data Engineering or equivalent
- Proven experience as a Data Engineer or in a similar role
- Strong knowledge of Python and SQL
- Strong knowledge of relational databases (e.g. MySQL)
- Expertise in data pipeline and ETL tools (e.g. Airflow, Databricks workflows)
Preferred experience
- Ability to work with Agile methodologies (Scrum, Kanban) is a plus
Qualification wording
Master’s degree in Computer Engineering/Data Science/Data Engineering or equivalent
Proven experience as a Data Engineer or in a similar role
Strong knowledge of the following programming languages or similar: Python, SQL
Strong knowledge of relational databases (e.g. MySQL)
Expertise in data pipeline and ETL processes and tools (e.g. Airflow, Databricks workflows)
Ability to work with Agile methodologies (Scrum, Kanban) is a plus
Education & alternatives
Requirements - Master’s degree in Computer Engineering/Data Science/Data Engineering or equivalent. - Fluent in English.
Tools in this posting
- Python
- AWS
- Azure
- Databricks
- MySQL
- Airflow
- SQL
Source — Tool mentions in context
- Proven experience as a Data Engineer or in a similar role. - Strong knowledge of the following programming languages or similar: Python, SQL. - Strong knowledge of relational databases (e.g. MySQL).
- Knowledge of Machine Learning theory is a plus (e.g. Supervised / Unsupervised learning) - Familiarity with Cloud computing services is a plus (e.g. AWS, Azure, Google) - Ability to work with Agile methodologies (Scrum, Kanban) is a plus
- Strong knowledge of relational databases (e.g. MySQL). - Expertise in data pipeline and ETL processes and tools (e.g. Airflow, Databricks workflows). - Knowledge of Source Code Management systems (e.g. git)
- Strong knowledge of the following programming languages or similar: Python, SQL. - Strong knowledge of relational databases (e.g. MySQL). - Expertise in data pipeline and ETL processes and tools (e.g. Airflow, Databricks workflows).
Posting record
Report an errorOpen 4 monthsWe first saw this listing 142 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026 · 142 days ago
- Recorded sightings
- 52
- Last seen by us
- Oct 22, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on hyntelo.jobs.personio.com. The employer’s form will show what is required.
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Job description
Hyntelo srl is seeking a full-time, highly skilled Senior Data Engineer who is passionate about data analysis and data-driven solutions to join our team in Pisa. The role entails the design, development, and maintenance of structured data analysis pipelines, working closely with stakeholders to understand their data needs and provide solutions with the objective of enhancing data value. This involves collaborating between various teams and ensuring data integrity and security. Additionally, an essential aspect of the role is laying in supporting and mentoring junior data engineers.
Key responsibilities include supporting and mentoring junior data engineers, collaborating between different teams, ensuring data integrity and security, and working closely with stakeholders to understand their data needs and provide solutions.
Responsibilities
Requirements
Master’s degree in Computer Engineering/Data Science/Data Engineering or equivalent.
Fluent in English.
Proven experience as a Data Engineer or in a similar role.
Strong knowledge of the following programming languages or similar: Python, SQL.
Strong knowledge of relational databases (e.g. MySQL).
Expertise in data pipeline and ETL processes and tools (e.g. Airflow, Databricks workflows).
Knowledge of Source Code Management systems (e.g. git)
Familiarity with Shell scripting
- Excellent organizational skills and attention to detail.
Ability to work collaboratively in a team environment and lead projects.
Strong communication skills to interact with technical and non-technical stakeholders.
Knowledge of Machine Learning theory is a plus (e.g. Supervised / Unsupervised learning)
Familiarity with Cloud computing services is a plus (e.g. AWS, Azure, Google)
Ability to work with Agile methodologies (Scrum, Kanban) is a plus
Qualification
- Previous experience in team management will be considered a plus.
- Previous experience with SCRUM teams is a plus.
Job Type and Salary
Full-time preferred.
Benefits
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Pisa, Roma
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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