Descrizione dell'offerta
Senior Data Engineering Manager, Milan or Turin, Italy
Hybrid – 3 days onsite, 2 days remote. Type: Permanent, Full-time. Language: English (Italian, Spanish, or French is a plus). Compensation: €88,000 – €92,000 base + 15% Bonus + up to €7,000 net Welfare Bonus / year. Job Summary
We are partnering with a leading international digital product company on a mission to completely revolutionise their data capabilities. They are modernising their core Data Platform from the ground up and need a visionary leader to drive this journey from their hubs in Milan or Turin. Responsibilities
Lead the transition: Evolve a contractor‑reliant ecosystem into a powerhouse internal engineering unit, mentoring and upskilling team members from day one. Drive the Platform pilot: Take direct technical ownership of the data platform roadmap, steering the business through a cutting‑edge Data Lakehouse and Data Mesh pilot. Collaborative Architecture: Partner with Data Architects, Product Management, and Governance to design scalable systems and lead critical Proofs of Concept (POCs). Build robust batch ingestion/validation pipelines using medallion architecture, while enforcing top‑tier data governance and observability framework. Qualifications
Proven management tenure: 4–6 years of direct people management experience, with around 10+ years total in tech. Experience working within fast‑paced, scale‑up digital product or SaaS environment. Product Company D NA: A strong background working within fast‑paced, scale‑up digital product or SaaS environment. Must possess a valid EU work permit or citizenship (sponsorship is not available). Required Skills
Highly proficient in Python, SQL, Snowflake, and Airflow within an AWS environment (using Terraform for IaC). Experience handling real‑time data streaming.
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Hybrid – 3 days onsite, 2 days remote. Type: Permanent, Full-time. Language: English (Italian, Spanish, or French is a plus). Compensation: €88,000 – €92,000 base + 15% Bonus + up to €7,000 net Welfare Bonus / year. Job Summary
We are partnering with a leading international digital product company on a mission to completely revolutionise their data capabilities. They are modernising their core Data Platform from the ground up and need a visionary leader to drive this journey from their hubs in Milan or Turin. Responsibilities
Lead the transition: Evolve a contractor‑reliant ecosystem into a powerhouse internal engineering unit, mentoring and upskilling team members from day one. Drive the Platform pilot: Take direct technical ownership of the data platform roadmap, steering the business through a cutting‑edge Data Lakehouse and Data Mesh pilot. Collaborative Architecture: Partner with Data Architects, Product Management, and Governance to design scalable systems and lead critical Proofs of Concept (POCs). Build robust batch ingestion/validation pipelines using medallion architecture, while enforcing top‑tier data governance and observability framework. Qualifications
Proven management tenure: 4–6 years of direct people management experience, with around 10+ years total in tech. Experience working within fast‑paced, scale‑up digital product or SaaS environment. Product Company D NA: A strong background working within fast‑paced, scale‑up digital product or SaaS environment. Must possess a valid EU work permit or citizenship (sponsorship is not available). Required Skills
Highly proficient in Python, SQL, Snowflake, and Airflow within an AWS environment (using Terraform for IaC). Experience handling real‑time data streaming.
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Informazioni aggiuntive
Opportunità: Head Of Data Engineering - Remote Work a Milano, Lombardia
Sei alla ricerca di una posizione come Head Of Data Engineering - Remote Work presso Explore Group a Milano? Di seguito trovi tutti i dettagli di questa offerta di lavoro.
Retribuzione indicativa: 88.000€ – 88.000€ EUR
Tipo di contratto rilevato: Tempo indeterminato
Competenze valorizzate
- Python
- AWS
- Terraform
Lavorare a Milano
Milano è il principale hub economico italiano, con un mercato del lavoro dinamico e opportunità in tutti i settori, dalla finanza alla tecnologia.
Settore: Ingegneria gestionale
Competenze rilevate
Candidatura e Ritorno (in fondo)
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