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Data Engineer

Hcqt Open · verified Oct 24, 2026
Torino Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Hcqt. Torino · no salary stated · we estimate €34,200–€38,500 across Italy.

Estimated pay

Hcqt has not published a salary for this role. The figure below is our estimate, not theirs.

€34,200 – €38,500
What the middle half of mid-level data engineering roles in Italy paid, among postings that did state a salary.
Worked out from 5 postings that stated pay, median €36,500. Last updated Oct 21, 2026.
RoleData Engineering
SeniorityMid-level
LocationTorino
PostedSep 15, 2026 · 5w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and look after serverless data pipelines, including ETL flows that use files and APIs
  • Write Python and SparkSQL code to query, combine, and filter data
  • Create system connectors and HTTP API logic using Lambda-based frameworks
  • Help shape data schemas and check that they are followed across systems
  • Check data quality as information enters and leaves the platform

What you bring

  • At least two years writing test-driven Python in an agile setting
  • At least two years building ETL workflows from file and API sources
  • Strong SQL skills, including nested queries, conditional cases, and UNION operations
  • Knowledge of serverless cloud design, REST APIs, and data schema practices
  • Experience with Python or R data science methods and development tools such as DevOps

Who this fits

This mid-level role suits you if you work comfortably across Python, SQL, ETL, and serverless systems. You’ll work in a hybrid setup, with an office in Turin or Milan and twelve remote-work days each month.

From the employer

Reale ITES, nata l’1 gennaio 2015, rappresenta per il Gruppo Reale Mutua la prima esperienza di realtà transnazionale e ha l’obiettivo di essere un centro di competenza specializzato nei servizi IT, come è sintetizzato nell’acronimo ITES che corrisponde a Information Technology Engineering Services.

Un’azienda nata all’interno di una realtà consolidata che ha alle spalle una lunga storia e davanti un percorso impegnativo.

Una realtà che nasce dall’idea di mettere insieme uomini e donne di Italia e Spagna per creare una piattaforma unica informatica e sfruttare tutte quelle sinergie che sono necessarie per un gruppo, come il Gruppo Reale Mutua.

Nella realtà lavorativa l’IT è diventata per tutte le aziende un fattore di forte competitività e la missione di Reale ITES è quella di riuscire a migliorare i processi informativi, fornire possibilità operative semplici e veloci, aumentare l’efficienza e l’efficacia dei processi, allo scopo di dare al cliente finale un prodotto eccellente e al Gruppo un elemento competitivo in più.

Per rappresentare questa realtà è stato creato inizialmente un GEIE (Gruppo Europeo di Interesse Economico) con una sede primaria a Torino e una sede secondaria a Madrid con circa 450 dipendenti, 330 dislocati presso le sedi di Torino e 120 a Madrid.

Objective:

  • Works with data analysts and data architect in order to collaborate in creation, optimization, scaling data products and analytical assets; as well as maintain and improve the analytical platform.

Responsibilities:

  • Implement and maintain key data flows in serverless frameworks.
  • ETL logic in frameworks such as DataFactory and SparkSQL.
  • Adaptors between systems in frameworks such as Lambda architecture.
  • HTTP API logic in frameworks such as Lambda architecture.
  • Write and maintain SparkSQL and Python data querying, aggregation and filtering code in SQL and Python.
  • Contribute to data schema structure and ensure adherence.
  • QA data as it comes into and out of our systems.

Qualifications:

  • Excellent knowledge of serverless cloud architecture principles.
  • 2 + year experience writing test-drive Python in an agile environment.
  • 2 + year experience implementing ETL flows using both file and API sources.
  • Experience in work development under agile methodology
  • Experience with complex SQL SELECT queries, including sub-queries, case statements and UNION.
  • Experience implementing HTTP REST APIs.
  • Knowledge of data structuring and schema best practices and standards.
  • Experience with data science techniques in Python or R.
  • Experience with development tools like DevOps.
  • Experience with visualization tools like PowerBI.
  • Familiarity with other visualization tools like SAP Business Object, Qlik, Tableau, IBM Cognos
  • Solid SQL database skills necessary to query and analyze data.

Modalità di lavoro: ibrida - ufficio Torino o Milano + 12gg di smartworking/mese

Ral a partire da: 39.000€

La ricerca è rivolta ai candidati ambosessi (l.903/77). Ti preghiamo di leggere l'Informatica Privacy ai sensi dell'Art. 13 del Regolamento (UE) 2016/679 sulla protezione dei dati (GDPR).

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.