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.