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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Thunes Ltd. - **Location:** Spain - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Business Logic, Batch Processing, System Configuration, Information Engineering, Data Governance, Data Infrastructure, Distributed Data Store, Python (Programming Language), Meta-Data Management, Cloud Services, SQL Databases, Data Streaming, Systems Architecture, Workflow Management Systems, Pulumi, Cloud Platform System, Sql Optimization, System Availability, Infrastructure as Code (IaC), Infrastructure Automation Frameworks, Data Lineage, Real Time Data, Apache Kafka, Terraform, Stream Processing, Data Pipelines - **Published:** September 5, 2026 - **Apply:** https://startup.jobs/senior-data-engineer-thunes-9831001 ## About the Role * Professional Experience: A proven track record in a Data Engineering capacity, with extensive experience managing and scaling modern, distributed data platforms. * Cloud Platform Expertise: Deep experience managing cloud-native data ecosystems, with a strong preference for candidates familiar with AWS or GCP environments. * Workflow & Infrastructure Tools: Proficiency in workflow orchestration and Infrastructure as Code (IaC); specific experience with Apache Airflow and Terraform is highly preferred, though experience with similar tools (e.g., Prefect, Dagster, Pulumi) will be considered. * Streaming Systems Depth: Demonstrated experience in configuring, maintaining, and troubleshooting distributed messaging and real-time data replication systems such as Apache Kafka or equivalent technologies (e.g., Amazon Kinesis, Google Pub/Sub). * Data Governance & Quality: Solid understanding of Data Governance principles, including data lineage, metadata management, and automated quality checks. * Advanced Engineering Skills: Exceptional Python programming capabilities and advanced SQL proficiency, with a focus on writing clean, modular, and highly testable code. * Business Sense: Strong analytical aptitude with the ability to interface directly with business units, understand underlying data logic, and architect schemas that support complex organizational reporting and data product needs. ## Description We are seeking a highly skilled Data Engineer to drive the development and optimization of our data platform. This position is designed for a technical expert who excels at the intersection of data engineering, infrastructure automation, and business logic. The successful candidate will be responsible for building robust data lifecycles, ensuring the scalability of our cloud-native environment, and maintaining the integrity of our streaming and batch processing systems., * Data Platform Engineering: Design, implement, and scale end-to-end data pipelines using Python and SQL-based transformations within a cloud-native data lake environment. * Infrastructure Orchestration: Manage and scale containerized data workloads and automated workflow orchestration (using tools like Apache Airflow) and Infrastructure as Code (using Terraform) or similar functional equivalents. * Streaming & Real-time Integration: Maintain and evolve real-time data replication services and stream processing architectures (utilizing Apache Kafka or similar distributed messaging systems) to ensure low-latency data availability. * Data Quality & Governance: Establish and implement Data Governance frameworks and automated validation protocols to ensure the highest standards of data accuracy, compliance, and platform reliability. * Business Logic & Data Modeling: Partner with cross-functional stakeholders to interpret complex business requirements and translate them into performant data models for reporting and business intelligence. * Systems Architecture: Provide technical insights into the continuous improvement of the data platform, ensuring the stack remains resilient and performant as data volumes and complexity increase. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Why segmenting your infrastructure into tiers makes your infrastructure design better](https://www.wearedevelopers.com/videos/1960-why-segmenting-your-infrastructure-into-tiers-makes-your-infrastructure-design-better) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Terraform for Developers](https://www.wearedevelopers.com/videos/3-terraform-for-developers) - [Unleashing Potential Across Teams: The Power of Infrastructure as Code](https://www.wearedevelopers.com/videos/930-unleashing-potential-across-teams-the-power-of-infrastructure-as-code) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)