Senior Data Platform Engineer, SeQura

• 7+ years of experience in Data Engineering, Data Platform Engineering, or Infrastructure Engineering
• Strong experience building and maintaining data platforms or distributed systems
• Experience with AWS cloud environments
• Solid experience with Kubernetes and containerized infrastructure
• Strong experience with Infrastructure as Code (Terraform, Helm)
• Experience implementing observability, monitoring, logging, and alerting systems
• Strong engineering rigor: version control, testing, modular design, and documentation
• High autonomy, ownership, and ability to drive technical decisions
• Proficiency in English for daily communication, documentation, and technical discussions
• Experience working with AI augmentation tools for daily and engineering tasks

Desirable

• We’re looking for a Senior Data Platform Engineer to join our Data Platform team and help us scale seQura’s data ecosystem through automation, platform capabilities, and self-service tooling
• Your mission will be to help evolve our Data Platform as a Product, enabling software engineers, analysts, data scientists, and business teams to leverage data across its lifecycle — from ingestion to discovery — while ensuring security, governance, and reliability are built into the platform by default. The goal is to empower teams across the company to access trusted data and make better, data-driven decisions
• This role goes beyond building pipelines. You’ll design the guardrails, abstractions, and platform capabilities that make it easy for other teams to build and scale their own data products safely and efficiently
• You’ll work in a cloud-native environment on AWS, where Infrastructure as Code, observability, and automation are fundamental engineering principles
• Design and evolve the self-service Data Platform, enabling engineering and business teams to build and manage their own data products autonomously
• Identify friction points for internal data consumers and build platform capabilities that improve developer experience
• Design and maintain a “Golden Path” for data pipelines, enabling teams to deploy new pipelines in minutes instead of weeks
• Embed data governance, observability, lineage, and access control directly into platform capabilities
• Improve the reliability, performance, and cost efficiency of our data infrastructure
• Lead architectural discussions and mentor engineers on distributed systems and platform design
• Evangelize the platform internally to drive adoption across teams
• What we own
• The full lifecycle of data across the company: extraction, ingestion, landing, transformation, governance, and observability
• The data infrastructure and platform capabilities that enable teams to create and scale their own data products
• Core platform components that ensure data quality, compliance, lineage, and discoverability
• The evolution of our data platform into a self-service ecosystem where teams can autonomously manage their data lifecycle
• The Data Platform team currently consists of a Data Platform Lead, four Data Engineers, and one MLOps Engineer. They collaborate closely with the Infrastructure Platform team and the rest of the Data organization to build and evolve the company's data platform
• How we work
• Platform mindset: we build capabilities and tooling, not one-off solutions
• Engineers treat internal teams as platform customers
• Strong collaboration with Infrastructure Platform, Data Science & AI, and Data Analytics teams
• Infrastructure-as-Code and automation are core engineering principles
• We are transitioning from a reactive ticket-based model to a product-oriented platform team
• What to expect in the next 90 days 🏁
• Month 1: You’ll immerse yourself in our data stack and our Data Platform philosophy. You’ll meet engineers, analysts, and product teams to understand their current challenges and friction points when working with data. You’ll contribute early improvements to our Infrastructure-as-Code, pipelines, or observability stack, with the goal of identifying and fixing a developer experience pain point
• Month 2: You’ll start contributing to the long-term platform roadmap. You’ll help define standardized ingestion patterns that move us away from bespoke pipelines and toward reusable, scalable platform capabilities
• Your goal will be to reduce “Time-to-Data” for one of our key business domains
• Month 3: You’ll lead a strategic platform initiative from design to deployment, such as evolving our data discovery layer or improving automated change detection
• During seQura Week (when the whole company gathers at our Barcelona HQ), you’ll present your work to the engineering organization, showing how the evolution of the data platform directly enables faster and better business decision-making
• By this point, you’ll have delivered a platform component that allows a non-data team to independently deploy a data producer or consumer

• Interview with People Team
• Technical take-home assessment (async)
• Live Peer review of the assessment
• Meet the team
• We kindly ask that you submit your CV in English as it is the official language of our community