About the role

We are looking for a Senior Data and Analytics Engineer to sit with business stakeholders and translate their needs into data transformation work using dbt and SQL.

The mandatory requirements are 4+ years of experience in data engineering or analytics engineering, expert-level Python and SQL skills, hands-on experience with dbt Cloud, strong proficiency with Snowflake and modern cloud data platforms and an upper-intermediate English level.

What you will do

  • Project-Embedded Engineering: Deliver robust data features and pipelines directly within project teams, focusing on fast-paced, business-facing verticals like distribution. Accommodate rapid reprioritization in a process-light environment without being siloed in a fixed-scope pool.
  • Complex Business Logic & Analytics: Translate complex business use cases into robust data models using dbt and SQL. Tackle rigorous business logic, such as aggregating revenue and performance data from platforms like Tubi, Roku, YouTube, and Amazon channels, and joining it with internal contracts.
  • Modern Stack Utilization: Build and maintain scalable pipelines utilizing a technical stack that includes Snowflake cloud warehouse, dbt Cloud, GitHub, VS Code, and local Python. Transition project documentation from tribal knowledge into dbt catalogs.
  • AI Tool Integration: Leverage AI tools within the development workflow, including GitHub Copilot, Microsoft Copilot, Snowflake Cortex, and dbt wizard features. Collaborate with technical leadership to uplevel the adoption of these tools within specific governance setups.
  • Cross-Functional Collaboration: Partner effectively with product managers, data visualization leads, and strategic analysts to evaluate requests and deliver consumption-ready data. Collaborate directly with the existing Head of Architecture and Data Engineering on technical decisions and quality standards.

Must haves

  • 4+ years of experience in data engineering or analytics engineering within a production environment.
  • Expert-level Python and SQL skills.
  • Extensive hands-on experience building transformation pipelines in dbt Cloud is strongly preferred.
  • Strong proficiency with modern cloud data platforms, specifically Snowflake, as well as development tools like GitHub and VS Code.
  • Proven ability to thrive in a process-light environment that operates more like a data science team than a highly tuned software engineering team.
  • Strong communication skills to effectively collaborate with non-technical stakeholders and product managers during bi-weekly or monthly sprint planning.
  • Upper-intermediate English level.

Nice to haves

  • Industry Expertise: Deep domain expertise in the media and entertainment industry, specifically Hollywood studios.
  • Specialized Knowledge: Hands-on experience with specific media data challenges, including title matching and metadata enrichment.
  • AI Development: Familiarity with AI-driven development tools, such as Snowflake Cortex and GitHub Copilot, and an understanding of the governance and grants required to manage them.

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.

lightning-iconA quick note

After applying, keep an eye on your inbox — including your spam folder. Occasionally, emails from our hiring platform, LaunchPod, may land there.

1

Tell us about yourself

Submit a short application form.

2

Pass a quick test

Pass a 30’- 60’ test.

3

Record a short video

Introduce yourself on video to fast-track your application process.

4

Meet our team

Once you pass the video review, grab a spot on our calendar for a technical interview.

5

Get an offer

Welcome to AgileEngine!

FAQ

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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If something doesn’t work or you have questions regarding your application process, drop us a line.

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