# Staff Data Engineer (all genders)

**Company**: Holidu Hosts Spain S.L.U.
**Location**: Munich
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: Full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://holidu.jobs.personio.com/job/2713703?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_49a65289-2d2

## Description

You'll join the Data Engineering team inside our Business Intelligence department at Holidu Hosts Spain S.L.U., a company operating in the travel industry. We own the data platform end-to-end, including the infrastructure it runs on: ingesting from every source at Holidu , event tracking, RDS databases, Google Sheets, external APIs , storing it efficiently, keeping queries fast, and serving it to the analytics layer the company runs on (Looker today, built to stay tool-agnostic). We build and run that infrastructure ourselves as code with Terraform.

It's a close-knit team of five (three senior engineers, a staff engineer, and a Tech Lead Manager you'll report to), working hand in hand with our analytics and data science teams to turn the tools you build into real impact.

The stack is modern and Python-first:

- Data Pipelines: Airflow + dbt-core

- Data Storage & Querying: Redshift (provisioned and serverless), Athena, DuckDB, PySpark

- Cloud & DevOps: AWS EKS (Kubernetes), Terraform, Docker, Jenkins for Continuous Integration and Delivery

- Ingestion: Kafka, Airbyte, Fivetran

- Monitoring: ELK, Grafana, Looker, OpsGenie.

- Automation & AI: Claude, Copilot, Codex are part of the everyday workflow, not an afterthought.

Your responsibilities will include:

- Shaping our data platform and the infrastructure it runs on end to end , from ingestion across many sources, through efficient storage and fast queries, to the serving layer the company makes decisions with.

- Designing, building and operating reliable data pipelines that ingest data from diverse sources , streaming and batch , and land them as query-ready datasets analysts and scientists depend on.

- Crafting the development toolchains and best practices that let analytics, data science and engineering teams build high-quality datasets on their own.

- Owning both the architecture and the AWS bill: making the tradeoffs that keep quality and SLAs high without runaway cost, and keeping pipeline performance under continuous watch.

- Setting technical direction and shaping engineering objectives together with engineering managers, researching new solutions and bringing fresh innovations to the platform.

- Growing the team by mentoring engineers, sharing your thinking openly, and helping recruit new talent.

Requirements:

- 8+ years of experience in Data Engineering, Software Engineering, or a similar role, ideally including time operating at a senior or staff level (for example as a Data Engineer, Analytics Engineer, or BI Engineer).

- Experience building and implementing Lakehouse architectures in AWS or comparable setups.

- Hands-on skills building batch and streaming pipelines with tools like Airflow, dbt, Redshift, Athena/Presto, Firehose, Spark, and SQL databases.

- Strong programming skills in Python and SQL (Java or Kotlin is a plus).

- Solid understanding of distributed systems and DataOps practices such as Infrastructure as Code, CI/CD for data pipelines, automated testing, monitoring and observability, and data quality management.

- Experience with containerization and orchestration technologies (Docker, Kubernetes/EKS).

- Excellent communication skills and a track record of influencing technical direction and aligning solutions with business objectives.

- Experience in Data Governance and enthusiasm for using LLM tools and agents to boost your team's productivity are a plus.

Our adventure includes:

- Impact: Shape the future of travel with products used by millions of guests and thousands of hosts.

- Learning: Grow professionally in a culture that thrives on curiosity and feedback.

- Great People: Join a team of smart, motivated and international colleagues who challenge and support each other.

- Technology: Work in a modern tech environment.

- Flexibility: Work in a hybrid setup with 50%+ in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations.

- Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized,but what truly sets us apart is the chance to grow in a dynamic industry, alongside amazing people, while having fun along the way.

## Skills

### Required
- Data Engineering
- Software Engineering
- Python
- SQL
- Airflow
- dbt-core
- Redshift
- Athena
- DuckDB
- PySpark
- AWS EKS
- Terraform
- Docker
- Jenkins
- Kafka
- Airbyte
- Fivetran
- ELK
- Grafana
- Looker
- OpsGenie
- Claude
- Copilot
- Codex

### Nice to have
- Lakehouse architectures
- Data Governance
- LLM tools and agents

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Source: [Apply at holidu.jobs.personio.com](https://holidu.jobs.personio.com/job/2713703?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)