Data Engineer Developer focused on data collection and analysis at Dev4Side Software. Collaborating on diverse projects with Italian and European partners.
About the role
- Senior Manager Data Engineering spearheading cloud-native solutions and operational excellence at Reckitt. Championing data engineering practices and mentoring teams to drive impactful business outcomes.
Responsibilities
- Own reusable data ingestion & processing
- Design and lead reusable ingestion frameworks, transformation libraries, and patterns that domain teams can self serve across batch, streaming, and real time workloads.
- Define and enforce enterprise standards for data modelling, schema evolution, quality, lineage, security, and metadata to ensure data products are consistent and interoperable across domains.
- Provide templates, accelerators, POCs, and hands on guidance so domain teams can rapidly build and operate their own data products using shared tooling and reusable components.
- Architect and oversee cloud-based data environments (Data Lake, Data Warehouse, Ingestion and Processing pipelines), including migration from legacy systems and ongoing optimization.
- Manage and mentor a central team of data engineers, drive code quality, reviews, best practices, automation, and a culture of continuous improvement and reuse.
- Oversee the Data COE function to establish and maintain enterprise standards, drive adoption across domains, automate engineering tasks (CI/CD, testing, deployment), and ensure consistent application of best practices and governance frameworks.
Requirements
- 15+ years of hands-on experience in data engineering, with prior roles as Data/Application Architect or Engineering Lead
- Proven track record designing and delivering large-scale, cloud-native data solutions (SaaS/PaaS/API-based architectures)
- Deep expertise in ETL/ELT technologies, data warehousing, and big data processing (Spark, Hadoop, Databricks)
- Expert proficiency in Microsoft Azure, specifically Azure Data Factory, Azure Data Lake Storage, and Azure Databricks
- Strong experience with schema management, data governance, and cost optimization in cloud data environments
- Hands-on experience migrating legacy systems to modern cloud platforms
- Strong grasp of conceptual, logical, and physical data modelling (ER modelling, dimensional modelling, star schema)
- Familiarity with data modelling tools (Erwin, Power Designer) and ability to design standards for cross-domain consistency
- Experience designing reusable patterns, APIs, and frameworks for self-serve data platforms
Benefits
- We invest in the wellbeing of our people through parental benefits
- Employee Assistance Program to promote mental health
- Life insurance for all employees globally
- Global share plans offer the opportunity to save and share in Reckitt's potential future successes
- Short-term incentives to recognise, appreciate and reward your work for delivering outstanding results
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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