Senior Data Analytics Engineer

Company shown to members 🔒 · Remote · Romania, Bulgaria, India only

Romania, Bulgaria, India only7+ years requiredPublished 1 September 2026Check carefully

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First recorded by Psst: 16 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.

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The 20-second read

Experience
7+ years required
Where you can live
Romania, Bulgaria, India only
Skills and tools
sql, python, javascript, docker, kubernetes, linux

Read from the ad by Psst's rules. Check the full ad below before applying.

Job details

Where you can work
Romania, Bulgaria, India
Employment type
Not stated by the employer
Advertised pay
Not stated by the employer
Experience
7+ years required
Employer publication date
1 September 2026
First recorded by Psst
16 October 2026
Last checked at the source
10 November 2026

About the job

The company is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – the company is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run the company, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, the company is uniquely positioned as the leading database for modern application development.

About the Role

We're looking for a Senior Analytics AI Platform Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and the company to building internal tools and APIs that put insights into the hands of the business.

Day to day, you'll write sophisticated SQL in BigQuery and the company, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable.

Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you.

Key Responsibilities

  • Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and the company
  • Write sophisticated, performant SQL to extract insights from large-scale datasets
  • Leverage AI and machine learning features to augment analytics workflows and deliver smarter outputs
  • Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level
  • Develop internal tooling and automation using Python, FastAPI, and modern frameworks
  • Communicate findings clearly to technical and non-technical stakeholders-translate data into action
  • Understand and document data architecture, lineage, and how information flows across systems
  • Collaborate on business process analysis and process design improvements driven by data
  • Proactively identify opportunities for deeper analysis, better tooling, and operational improvements

Requirements & Qualifications

  • 7+ years of professional experience in data analytics engineering, data engineering, or a related field
  • Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and the company experience strongly preferred
  • Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts
  • js experience - ability to build data-facing web applications and internal dashboards
  • Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve
  • Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically
  • Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch
  • Excellent communication skills - you can explain complex analysis to anyone in the room
  • Self-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next
  • Ambitious and continuously improving - you seek out new skills, tools, and techniques on your own
  • A public GitHub profile with examples of your work (personal projects, contributions, experiments)

Nice to Have

  • FastAPI experience for building internal APIs and services
  • Background in business process design or operational analytics
  • Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo
  • Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus

Location – Bulgaria (Hybrid, Sofia)

Travel - As required for the job (minimal).

What's in it for you?

Impact the world of technology by pushing the boundaries of technology and business models, working at the company, the company. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry.

You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.

Salaries for candidates outside the U.S. will vary based on local compensation structures.

Compensation

Salary Range : 30,000 - 38,500 Euro per annum (gross salary)  Please note: The starting salary offered will be commensurate with the candidate's skills, qualifications, and relevant experience, in alignment with our gender-neutral compensation framework.

How to Apply

If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our the company Careers site.

  • At the company we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. The company is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
  • the company does not sponsor work visas or relocation.
  • the company is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
  • the company will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. The company is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

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