Summary
✨ AI‑Generated
Join a remote data platform engineering team responsible for building and operating services and pipelines that support analytics data ingestion, schema management, and delivery into a modern data platform. Modernize legacy components with Java, build CI/CD and automated testing, manage production infrastructure on AWS with Terraform, improve data quality and lineage, and create reusable tooling that helps teams adopt modern platform standards.
Highlights
Fully remote senior engineering work with strong compensation on a B2B contract. The role offers substantial ownership over cloud infrastructure, data ingestion platforms, automation, CI/CD, data quality, and platform modernization, with broad cross-functional collaboration.
Description
Senior Data DevOps Engineer (Remote)
26000-28000 PLN miesięcznie (B2B)
Appliscale
Czym będziesz się zajmować?
Responsibilities
Design, build, and operate services and pipelines that power analytics data ingestion, schema management, and delivery into DatabricksModernize legacy platform components by migrating services, libraries, and deployment workflows to modern Java and application standardsBuild automation, CI/CD flows, and scenario/integration test coverage to make platform changes safe and repeatableDesign and maintain production infrastructure in AWS using Infrastructure as Code tooling such as TerraformImprove data quality through stronger schema validation, metadata capture, lineage tracking, and operational guardrailsBuild tooling and paved paths that help internal customers migrate to new ingestion and schema standardsCollaborate with cross-functional teams to prepare design docs, rollout plans, and implementation strategies for platform changesMonitor live systems, investigate incidents, and be part of the on-call team that provides 3rd line support to live analytics servicesSupport 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 fieldBachelor's or higher degree in Computer Science, Software Engineering, or a related fieldCoding skills, with commercial experience in one of the following languages - Java, Python, GolangKnowledge in Infrastructure as Code tooling, e.g.
TerraformExperience with CI/CD tooling, e.g.
GitHub Actions, Jenkins, DockerExperience with streaming and schema-driven systems, e.g.
Kafka, Protobuf, JSON Schema, or schema registriesCommercial experience with Airflow and DBT (Data Build Tool)Commercial experience with DatabricksCommercial experience with Spark/PySparkEffective communication and teamwork skillsNice to have
Experience with DatabricksDelta Live Tables and Unity CatalogExperience with AWS especially Kafka/MSK-based data flows, S3, IAM and VPC/networking.Experience with Buf, Protobuf tooling, or JSON-to-Protobuf migration workFamiliarity with Golang for internal tooling or automationExperience with infrastructure monitoring and on-call practices using tools like Datadog and PagerDutyDemonstrated ability to troubleshoot and optimize complex ETL pipelines
Czego wymagamy?
Znajomości:
AWSAirflowDatabricksCI/CDMile widziane:
GolangPythonTerraformDBTSparkKafkaProtobufJSONJęzyki:
PolskiAngielski
Jakie warunki i benefity otrzymasz?
26000-28000 PLN miesięcznie (B2B)B2B - Stałe godziny pracy (100%)Praca zdalna: W całościBudżet szkoleniowy, Szkolenia wewnętrznePakiet medyczny, Ubezpieczenie
Gdzie będziesz pracował?
Zdalnie
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.
