Sr. Data Engineer

Hyntelo Open

Pisa ROMA Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at Hyntelo. Pisa · full-time.

Pay not stated Data Engineer salary

RoleData Engineering

SenioritySenior

LocationPisa

EmploymentFull-time

PostedMay 31, 2024

Also hiring inROMA

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Build and maintain structured pipelines that support data analysis and increase the value teams get from data
Talk with stakeholders to clarify their data needs, then deliver solutions based on those needs
Coordinate across teams while protecting data quality and security
Guide junior data engineers through mentoring and day-to-day support

What you bring

A master’s degree in computer engineering, data science or another listed field, or an equivalent qualification
Prior work as a data engineer or in a comparable role, with strong Python and SQL skills
Experience with relational databases and ETL pipelines, plus familiarity with tools such as MySQL and Airflow
Fluent English and the ability to communicate with technical and non-technical stakeholders

Who this fits

This senior role suits someone who can work across teams, lead projects and support junior engineers. The position is full-time and based in Pisa.

From the employer

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.

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