Senior Specialist - Data Engineering

LTM; Stockholms kommun; On-site; SEK 700,000 - 1,000,000; Full time

Job summary

LTM in Stockholm is seeking an experienced SE_Data Engineer – Senior Professional 1 to own and improve the platform's data foundation. You will manage data models, ingestion flows, integrations, and data quality while contributing to backend and cloud infrastructure to ensure reliable, scalable data capabilities aligned with product priorities.

You will collaborate with product and engineering leaders on architecture and priorities, support CI/CD practices, and drive observability and data

Qualifications

• Must have: Senior experience in data engineering, backend, or platform engineering.
• Must have: Strong SQL, relational data modeling and data pipelines.
• Must have: Experience with APIs and cloud environments (preferably AWS).
• Nice to Have: PostgreSQL, Node.js/TypeScript, Python.
• Nice to Have: Snowflake and modern data stack.
• Nice to Have: Experience from marketplace platforms or multi-stakeholder systems.

Responsibilities

• Own and evolve the platform’s data model to support multiple sellers, markets, and integrations.
• Design and maintain ingestion pipelines (imports, validation, transformation, retries, auditability).
• Establish reliable data pipelines, contracts, and quality controls for trusted business metrics.
• Handle integrations and external data sources (DMS/ERP, Snowflake, CSV/FTP, etc.).
• Improve data quality, traceability, and observability across platform domains.
• Contribute to backend and cloud infrastructure (AWS, databases, jobs, monitoring, scaling).
• Collaborate with Product Lead and Lead Developer on architecture and priorities.
• Support engineering standards, CI/CD, and documentation.
• Act as technical representative in data flows and integration discussions.

Skills

SQL

Relational data modeling

Data pipelines

APIs

AWS

English

Swedish

Data quality

Observability

Backend/Platform engineering

Education

Bachelor's or higher in Computer Science/Engineering

Tools

PostgreSQL

Node.js/TypeScript

Python

Snowflake

REST APIs

AWS

Job description

LTM — a Larsen & Toubro company — is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it.

Role – SE_Data Engineer – Senior Professional 1

The consultant will own and improve the platform’s data foundation, including data models, ingestion flows, integrations, and data quality. The role also includes contributing to backend and cloud infrastructure and ensuring reliable, scalable, and observable data and platform capabilities aligned with product and business priorities.

Responsibilities

• Own and evolve the platform’s data model to support multiple sellers, markets, and integrations.
• Design and maintain ingestion pipelines (imports, validation, transformation, retries, auditability).
• Establish reliable data pipelines, contracts, and quality controls for trusted business metrics.
• Handle integrations and external data sources (DMS/ERP, Snowflake, CSV/FTP, etc.).
• Improve data quality, traceability, and observability across platform domains.
• Contribute to backend and cloud infrastructure (AWS, databases, jobs, monitoring, scaling).
• Collaborate with Product Lead and Lead Developer on architecture and priorities.
• Support engineering standards, CI/CD, and documentation.
• Act as technical representative in data flows and integration discussions.

Education

• Must Have: Degree in Computer Science, Engineering, or equivalent experience.
• Nice To Have: Advanced degree in relevant field.

Experience

• Must Have: Senior experience in data engineering, backend, or platform engineering.
• Must Have: Strong experience with SQL, relational data modeling, and data pipelines.
• Must Have: Experience with APIs and cloud environments (preferably AWS).
• Nice To Have: Experience with PostgreSQL, Node.js/TypeScript, Python.
• Nice To Have: Experience with Snowflake and modern data stack.
• Nice To Have: Experience from marketplace platforms or multi-stakeholder systems.
• Nice To Have: Experience from startup, venture, or fast-moving product environments.

Language

• English + Swedish + Additional European languages seen as a merit.

Personal / Soft Skills

• Structured and analytical with strong problem-solving ability.
• Strong technical judgment and decision-making skills.
• Comfortable with broad responsibilities and shifting priorities.
• Pragmatic and delivery-oriented.
• Strong collaboration and communication skills.
• AI-native mindset (comfortable using and validating AI tools in development work).

Other Specifications

• Comfortable working in a venture environment with high ownership.
• Ability to translate business needs into scalable technical solutions.
• Strong focus on data quality, observability, and long-term scalability.
• Willingness to contribute beyond strict role boundaries (platform, backend, cloud).