About the role
We are looking for a Senior Data Platform Engineer to build secure, scalable data platform capabilities and automate data governance controls.
The mandatory requirements are 5+ years of data engineering experience, SQL, experience with at least one of the following: Databricks, Unity Catalog, data lakes, or Apache Spark, and an upper-intermediate English level.
Must haves
- Bachelor's in CS/Data Engineering/Software Engineering/related STEM (or Bachelor's + Master's/higher in STEM)
- 5+ years software/data engineering experience (or equivalent demonstrated skill)
- 5+ years with Python, SQL, distributed processing, data modeling, modern data engineering frameworks
- Strong experience with cloud data platforms, data catalogs, metadata, lineage, data quality, access controls
- Databricks, Unity Catalog, Data Lake, Apache Spark, or comparable
- CI/CD, automated testing, environment separation, production deployment
- Experience building secure APIs, MCP servers, or tools for enterprise/AI-enabled apps
- Enterprise identity, RBAC, service accounts, secrets, least-privilege security
- Full lifecycle experience: architecture → development → deployment → production support
- Upper-intermediate English level.
Nice to haves
- GitLab CI/CD or comparable
- Policy-as-code, infrastructure-as-code, configuration-driven platforms
- Experience building data marketplaces, governance platforms, or internal developer platforms
- Familiarity with privacy/security/regulatory/AI governance controls
- Experience in regulated or risk-sensitive environments
What you will do
- Architect secure, scalable data platform and governance automation capabilities
- Build automated controls for metadata, ownership, lineage, data quality, access, and policy enforcement
- Develop secure APIs, MCP tools, and integrations for enterprise/AI-enabled applications
- Design reusable, configuration-driven patterns for governed data/platform services
- Implement identity, authz, least-privilege access, auditability, and credential management
- Build automated validation, testing, deployment, and monitoring across environments
- Partner with domain experts, PMs, governance teams, and engineers on technical controls
- Establish observability for platform health, data quality, policy results, and failures
- Own production-quality code, tests, documentation, and operational guidance
- Mentor other engineers; guide technical direction across teams
Perks
- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
- Well-being & support: access local well-being programs and people-focused support tailored to your location
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Hiring process timeline
We designed our hiring process to be fast, transparent, and convenient — so you always know what to expect and can move through the steps without unnecessary delays.
A quick note
After applying, keep an eye on your inbox — including your spam folder. Occasionally, emails from our hiring platform, LaunchPod, may land there.
Tell us about yourself
Submit a short application form.
Pass a quick test
Pass a 30’- 60’ test.
Record a short video
Introduce yourself on video to fast-track your application process.
Meet our team
Once you pass the video review, grab a spot on our calendar for a technical interview.
Get an offer
Welcome to AgileEngine!
Have any questions?
What is the work format and schedule?
We are a remote-first company, so all our positions are remote. Schedules are flexible, but the main requirement is to have an overlap with your client’s schedule to ensure smooth collaboration. Specific details depend on the project and are discussed during the interview process.
What level of English is required?
We look for Upper-Intermediate (B2) proficiency or higher. Since you will be collaborating with international teams and global clients (including Fortune 500 companies), English is a part of your daily work.
Does AgileEngine provide work equipment?
It depends on your location. We provide equipment in Ukraine, Poland, Argentina, Colombia, Mexico, Brazil, Guatemala, Portugal, Spain, and India. In the USA, equipment is usually provided by the client; otherwise, you will be expected to use your own setup.
What opportunities for professional growth do you offer?
We support continuous growth through personalized development paths tailored to each expert. Also, you can expect:
- An annual learning and development budget
- Internal workshops, tech talks, and mentorship programs
- Opportunities to switch projects or grow into new roles over time
What does a typical team look like, and what tools do you use?
Teams vary by project, but you’ll usually work with a mix of experts across different fields, along with a delivery or project manager who supports collaboration and onboarding.
For day-to-day work, teams commonly use tools like Jira and Google Workspace, along with communication platforms such as Google Chat. Depending on the client, you may also work with Slack, Confluence, Notion, or similar tools.
Need help?
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