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Tier-1 brand, popular data role, and Bangalore metro increase candidate competition.
Medium because core data engineering skills transfer, but SAP and finance domain knowledge increases domain specificity.
High due to explicit 7+ years and mandatory Databricks, SAP, cloud and DevOps experience.
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Design, implement, and operate scalable data pipelines and ETL/ELT processes on Databricks to deliver timely and accurate finance data.
Lead and define end-to-end architecture of data pipeline solutions within the Finance Operations team, collaborating closely with HQ in Denmark.
Act as a functional lead to establish and grow the data & analytics capability in the Bangalore GBS centre, including coaching colleagues and ensuring high-quality data solutions aligned with business needs.
Master’s degree in computer science, engineering, software development or related field.
At least 7 years of professional experience in data engineering or related roles.
Strong hands-on experience with Databricks (Spark, Delta Lake, notebooks, jobs), Python, SQL, and cloud data engineering (Azure/AWS/GCP).
Experience with SAP ecosystem (e.g. S4, BDC, or SAP BW/BW4 HANA) and knowledge of DevOps practices including CI/CD and infrastructure as code.
Experienced senior-level data engineer with a strong mix of hands-on technical ability and leadership in data platform design for finance operations.
Comfortable operating in a global matrix environment, partnering closely with teams in headquarters and navigating complex stakeholder landscapes.
Pragmatic communicator able to translate complex technical concepts to varied stakeholders and drive continuous improvement in regulated industry contexts.