Ciklum is looking for a Senior Data Engineer to join our team full-time in India.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges.

With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About The Role :

As a Senior Data Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.

Leads the analysis of enterprise data landscapes and operational signals, translating fragmented system data into structured, decision-ready insights that support process transformation and AI enablement.

Responsibilities :

- Analyse complex multi-system environments to identify key data sources and dependencies.

- Build structured views of data assets and operational signals across platforms.

- Map data flows, integrations, and lineage across systems.

- Assess data quality, consistency, and ownership models.

- Establish analytical foundations to enable cross-system insight generation.

- Collaborate with business and technical stakeholders to validate findings.

- Build a comprehensive inventory of systems and data assets across journal operations.

- Identify and map key operational signals (workflow states, timestamps, ownership, handoffs).

- Produce an end-to-end data flow and integration view, including manual and duplicated

flows.

- Assess data structure, ownership, and fragmentation across systems.

- Establish a Snowflake-based analytical layer to support integrated analysis.

Requirements :

- Strong experience in data architecture and data engineering.

- Hands-on experience with Snowflake (critical).

- Experience working with enterprise system landscapes (multi-system environments).

- Strong SQL and data modelling capability.

- Understanding of data lineage, integration patterns, and governance.

- Ability to work with incomplete / messy enterprise data environments.

- System and data landscape views.

- Data asset and signal inventories.

- Data flow and integration mappings.

- Data quality and lineage assessments.

- Structured analytical datasets for downstream use.

What`s in it for you :

- Strong community : Work alongside top professionals in a friendly, open-door environment.

- Growth focus : Take on large-scale projects with a global impact and expand your expertise.

- Tailored learning : Boost your skills with internal events (meetups, conferences, workshops),

Udemy access, language courses, and company-paid certifications.

- Endless opportunities : Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies.

- Care : Weve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations