Data Platform Lead

Chain IQ Group AG; Lisboa; Presencial; EUR 90 000 - 130 000; Tempo integral

Resumo da oferta

Chain IQ Group AG is seeking a hands-on Team Lead for our data engineering team. You will design and build core parts of our data platform, including ingestion, modelling, and governed data products, while mentoring engineers and defining technical direction.

You will collaborate with architecture, product, and governance stakeholders to ensure scalable, secure data solutions across the organization. The role demands deep knowledge of Databricks or equivalent lakehouse architectures, data

Qualificações

• Hands-on experience designing and building enterprise data platforms.
• Strong leadership and coaching abilities with a track record of mentoring engineers.
• Capability to review code and guide architectural decisions while remaining hands-on.
• Expertise with cloud-native data ecosystems and modern engineering tooling.
• Deep knowledge of governance, privacy, data lineage and secure data products in regulated environments.

Responsabilidades

• Design core parts of the data platform architecture, including ingestion and data modelling.
• Define technical standards for data ingestion, transformation and modelling.
• Lead architectural decisions and ensure alignment with governance and privacy frameworks.
• Stay hands-on: write code, review pull requests, contribute to platform components.
• Coach engineers, plan the technical roadmap, and balance new capabilities with maintenance.

Conhecimentos

Hands-on data platform design

Team leadership & coaching

Code reviews

Cloud-native data ecosystems

Data governance & privacy

Ferramentas

Databricks

REST API design

GraphQL

Terraform

Python

Scala

SQL

Neo4j

Descrição da oferta de emprego

At Chain IQ, your ideas move fast. Chain IQ is a global AI-driven Procurement Service Partner, headquartered in Baar, Switzerland, with operations across main centers and 16 offices worldwide. We provide tailored, end-to-end procurement solutions that enable transformation, drive scalability, and deliver substantial reductions in our clients' indirect spend. Our culture is built on innovation, entrepreneurship, ownership, and impact. Here, your voice matters - bold thinking is encouraged, and action follows ambition.

Role Purpose

As Team Lead, you will be a hands‑on technical leader for a team of data engineers, spending much of your time designing and building our data platform architecture yourself. You will define how data is ingested, governed and modelled, setting the technical direction the team follows, while also coaching and supporting the engineers around you.

Additionally, you will work closely with architecture, product and governance stakeholders to keep the platform consistent, well governed and built to last. This is a role for an experienced engineer who wants to keep building while helping others grow.

Responsibilities

• Design and build core parts of our data platform architecture, including ingestion, data modelling and governed data products.
• Define technical standards and patterns for data ingestion, transformation and canonical data modelling across the team.
• Lead architectural decisions on how the team's platform work fits into our wider data governance and privacy framework.
• Stay hands‑on: write code, review pull requests, and directly contribute to key platform components.
• Guide the team's approach to data quality, lineage and access control, ensuring consistent, well‑governed data products.
• Provide day‑to‑day technical leadership and coaching to the team, helping engineers grow their skills and confidence.
• Plan and prioritise the team's technical roadmap, balancing new capability with maintenance and technical debt.
• Partner with business and other tech teams to translate business needs into technical design decisions.
• Support hiring and onboarding, helping new engineers ramp up quickly on the platform's architecture.
• Champion strong engineering practices across the team, including code quality, testing and documentation.

Requirements

• Hands‑on expertise designing and building enterprise data platforms, ideally using Databricks or a comparable lakehouse architecture.
• Deep knowledge of data ingestion, canonical/conformed modelling, and reusable data products.
• Strong command of governance, quality, lineage, access control, security, privacy, and anonymisation practices in regulated environments.
• Ability to define architectural direction and drive adoption across engineering teams.
• Track record of mentoring engineers through technical coaching and code reviews while remaining hands‑on.
• Comfortable operating as a player‑coach, balancing platform delivery with team leadership.
• Knowledge of data mesh and federated data product architectures.
• Proficiency with cloud‑native data ecosystems and modern engineering tooling.
• Ability to communicate technical concepts and design decisions to both technical and non‑technical audiences.
• Pragmatic approach to balancing engineering excellence, execution speed, and team growth.
• Expertise in REST and GraphQL API design, schema governance, contract management, and versioning.
• Proficiency in Python and/or Scala, SQL, and Infrastructure as Code (Terraform preferred).
• Familiarity with knowledge graph technologies is good to have (including RDF, property graphs, Neo4j, and graph‑based analytics)

Join a truly global team.

We offer a dynamic and international environment where high performance meets real purpose. We're proud to be Great Place to Work-certified and even prouder of the people who make that possible. Let’s shape the future of procurement - together.

Chain IQ – Create. Lead. Make an impact.