Senior Data Engineer (Azure & Python)

The Role

Keyrus is seeking a Senior Data Engineer & Analytics Lead to join our Data Delivery team and drive the design, development, and optimisation of scalable cloud-based data solutions. This role goes beyond traditional data engineering — we are looking for someone who can own the end-to-end data lifecycle, from pipeline architecture to data validation, exploratory analysis, and insight presentation.

The ideal candidate combines strong data engineering capabilities with the ability to collate, analyse, and interpret data to generate meaningful business value. A foundational understanding of data science concepts is expected, even if not at a fully advanced modelling level.

• Location: Hybrid – Pune, India (3 days onsite)
• Target Start: October 2025
• Compensation: ₹30,00,000 – ₹40,00,000 INR
  
  

Responsibilities

• Architect, build, and optimise cloud-native data pipelines and big data ecosystems using Azure and Snowflake.
• Perform data ingestion, transformation, and enrichment, ensuring high data quality and reliability across downstream use cases.
• Conduct basic exploratory data analysis (EDA) and generate insight-ready datasets to support business stakeholders and analytics teams.
• Present data findings and performance insights clearly to both technical and non-technical stakeholders.
• Ensure all Non-Functional Requirements (security, performance, scalability, DR, compliance) are embedded in design and implementation.
• Evaluate and prototype modern data technologies, leading POCs to drive innovation and continuous improvement.
• Collaborate with Data Governance teams to ensure accurate metadata and lineage tracking (e.g., via Collibra or similar tools).
• Advocate for data mesh principles, reusable data products, and best practices across engineering and business teams.
• Leverage DevSecOps and automation tools (Terraform, GitHub, CI/CD) to streamline deployment and operational excellence.
  
  

What We're Looking For In Our Applicants

• 10+ years of hands-on experience in data engineering in enterprise/cloud environments.
• Proven experience building data pipelines on Azure (Azure Data Factory, Databricks, Synapse, or equivalent).
• Demonstrated ability in Snowflake development, including SQL performance optimisation.
• Practical exposure to Python for data workflows and basic analytical scripting (pandas, data inspection, validation scripts).
• Experience performing data joins, validation, quality checks, and exploratory insights aggregation.
• Strong understanding of data lake/data warehouse architectures and modern data platform patterns.
• Skilled in DevOps/Infra-as-Code tooling (Terraform, GitHub, CI/CD pipelines) and automated deployment strategies.
• Ability to translate complex technical concepts into clear business-relevant insights.
• Experience collaborating with multidisciplinary teams ,including Data Scientists, Analysts, Governance, and Product stakeholders.
  
  

Why Keyrus?

Joining Keyrus means joining a market leader in the Data Intelligence field and an (inter)national player in Management Consultancy and Digital Experience.

You will be part of a young and ever learning enterprise with an established international network of thought leading professionals driven by bridging the gap between innovation and business. You get the opportunity to meet specialised and professional consultants in a multicultural ecosystem.

Keyrus gives you the opportunity to showcase your talents and potential, to build up experience through working with our clients, with the opportunity to grow depending on your capabilities and affinities, in a great working and dynamic atmosphere.

Keyrus UK Benefits

• Competitive holiday allowance
• Very comprehensive Private Medical Plan
• Flexible working patterns
• Workplace Pension Scheme
• Sodexo Lifestyle Benefits
• Discretionary Bonus Scheme
• Referral Bonus Scheme
• Training & Development via KLX (Keyrus Learning Experience)