Reckitt

Senior Data Engineering Manager

Reckitt

full-time

Posted on:

Location Type: Office

Location: Hyderabad • India

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Job Level

Senior

Tech Stack

AzureCloudETLHadoopSpark

About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringdata architectureETLELTdata warehousingbig data processingdata modellingcloud-native data solutionsAPI designschema management
Soft Skills
mentoringcode qualitybest practicesautomationcontinuous improvementleadershipguidancecollaborationcommunicationproblem-solving