Senior Data DevOps Engineer

**Czym będziesz się zajmować?** Responsibilities * Design, build, and operate services and pipelines that power analytics data ingestion, schema management, and delivery into Databricks * Modernize legacy platform components by migrating services, libraries, and deployment workflows to modern Java and application standards * Build automation, CI/CD flows, and scenario/integration test coverage to make platform changes safe and repeatable * Design and maintain production infrastructure in AWS using Infrastructure as Code tooling such as Terraform * Improve data quality through stronger schema validation, metadata capture, lineage tracking, and operational guardrails * Build tooling and paved paths that help internal customers migrate to new ingestion and schema standards * Collaborate with cross-functional teams to prepare design docs, rollout plans, and implementation strategies for platform changes * Monitor live systems, investigate incidents, and be part of the on-call team that provides 3rd line support to live analytics services * Support performance, reliability, and cost optimization across ingestion and processing flows **Kogo poszukujemy?** Required qualifications * Minimum of **5 years commercial work** experience in software engineering, data engineering, platform engineering, or a related field * **Bachelor's or higher degree** in Computer Science, Software Engineering, or a related field * Coding skills, with commercial experience in one of the following languages - **Java, Python, Golang** * Knowledge in Infrastructure as Code tooling, e.g. **Terraform** * Experience with **CI/CD** tooling, e.g. **GitHub Actions**, **Jenkins**, **Docker** * Experience with streaming and schema-driven systems, e.g. **Kafka**, **Protobuf**, **JSON Schema**, or schema registries * Commercial experience with **Airflow** and **DBT** (Data Build Tool) * Commercial experience with **Databricks** * Commercial experience with  **Spark**/**PySpark** * Effective communication and teamwork skills Nice to have * Experience with **DatabricksDelta Live Tables and Unity Catalog** * Experience with **AWS** especially **Kafka**/MSK-based data flows, **S3**, **IAM** and **VPC**/networking. * Experience with Buf, **Protobuf** tooling, or JSON-to-Protobuf migration work * Familiarity with **Golang** for internal tooling or automation * Experience with infrastructure monitoring and on-call practices using tools like **Datadog** and **PagerDuty** * Demonstrated ability to troubleshoot and optimize complex ETL pipelines **Czego wymagamy?** 5 lat doświadczenia na podobnym stanowisku Znajomości: * AWS * Airflow * Databricks * CI/CD Mile widziane: * Golang * Python * Terraform * DBT * Spark * Kafka * Protobuf * JSON Języki: * Polski * Angielski **Jakie warunki i benefity otrzymasz?** * 26k–28k PLN netto/m (B2B) * B2B - Stałe godziny pracy (100%) * Praca zdalna: W całości * Budżet szkoleniowy, Szkolenia wewnętrzne * Pakiet medyczny, Ubezpieczenie **Kim jesteśmy?** Appliscale is an independent Technology Consultancy specializing in bespoke, cloud-based systems and full-cycle engineering - from business analysis to architecture design, development, and deployment. We work across industries such as gaming, proptech, legaltech, and adtech, partnering with startups, scaleups, and Fortune 500 companies worldwide. Our current focus is on building intelligent agents that drive automation, streamline operations, and enable scalable agentic ecosystems. With a flat structure, remote-first culture, and self-organized teams, we foster an environment where engineers innovate, share expertise, and create real impact.