Senior MS SQL DBA (with MongoDB)
Hello, let’s meet!
Who We Are
While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started.
What We Do
We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more.
We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland!
Beyond Projects
What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow.
What sets us apart?
Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself.
You will be:
- scripting, testing, and implementing database migrations and schema changes following best practices in design and performance,
- ensuring all database changes are delivered through a controlled DDL change process (Flyway deployments via GitLab and Jenkins pipelines) aligned with internal DBA governance and ITIL change management,
- collaborating with front-end and application development teams to ensure code quality and consistency, joining squads as needed,
- designing and producing reusable templates for DDL changes to be shared with stakeholders,
- automating database deployments using Flyway, Git, and CI/CD pipelines,
- developing custom scripts to automate repetitive operational and migration tasks,
- building and maintaining database refresh processes for various systems,
- troubleshooting database issues and ensuring resolution within defined SLAs.
Your profile:
- university degree in Computer Science, Information Systems, or equivalent technical certification,
- Microsoft SQL Server certification (2016/2019/2022),
- at least 10 years of experience as a MS SQL Server Developer/DBA, including database migration projects to AWS,
- hands-on experience migrating MongoDB to AWS DocumentDB,
- strong experience with AWS RDS administration and best practices,
- experience with AWS DMS and other migration tools,
- practical experience building AWS RDS infrastructure using Infrastructure as Code (CDK in TypeScript, Python, or Java) integrated with CI/CD tools such as Jenkins and GitLab,
- experience maintaining high-performance batch and streaming ETL/ELT pipelines using PySpark, SQL, and Databricks Delta Live Tables,
- experience designing and administering cloud-based database solutions in Amazon RDS,
- solid understanding and practical use of ITIL frameworks,
- experience working in Agile environments, using Kanban and Jira throughout the project lifecycle,
- strong experience in database design and administration,
- strong analytical and critical thinking skills,
- ability to work independently as well as within distributed teams,
- experience with ServiceNow, Confluence, and database monitoring tools such as Foglight,
- good understanding of GDPR principles,
- upper-intermediate English,
- practical experience using AI-powered assistants (e.g. Claude Code, GitHub, Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.
Work from the European Union region and a work permit are required.
Nice to have:
- experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work,
- interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches.
Recruitment Process:
CV review – HR call – Technical Interview – Client Interview – Decision
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