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Sr. Data Engineer

OneDome onedome.com Open · verified Oct 24, 2026
Remote Ukraine Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at OneDome. Remote, Ukraine · full-time.

Pay not stated Data Engineer salary

RoleData Engineering
SenioritySenior
LocationUkraine
WorkplaceRemote
EmploymentFull-time
PostedAug 25, 2026 · 2mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and operate the AWS data environment, with a warehouse fed by product, CRM and external data sources
  • Shape reporting models for analysts, product teams and leaders, then maintain their tests and documentation
  • Guide platform architecture and improve its reliability, data accuracy, performance and ability to scale
  • Manage data-protection work in pipelines, including retention, deletion and requests for personal records
  • Coordinate with product managers, analysts and engineers in distributed teams to ship useful data solutions

What you bring

  • At least five years building and operating production data pipelines across their full lifecycle
  • Hands-on Redshift experience, or another columnar warehouse backed by a credible transfer plan
  • Strong SQL and Python skills, plus production dbt work covering tests, documentation and CI
  • Practical AWS data-service experience, along with infrastructure automation and observability
  • Experience handling UK-regulated personal data, including GDPR, retention and subject access requests

Who this fits

This senior role suits an individual contributor who wants to establish the warehouse, pipelines and platform standards as the first dedicated data engineer. It is remote from Ukraine, with working hours set to 9:00-17:00 London time. Strong English communication is required.

From the employer

  • Sr. Data Engineer

About the Role

OneDome is a UK-based property technology company on a mission to make buying, selling and financing a home simpler and faster. Our platform connects homebuyers, estate agents, conveyancers and mortgage brokers into a single digital journey, and it is scaling quickly.

We hold a great deal of data on how customers move through buying, financing and conveyancing, and very little of it can currently be queried in one place. This is our first dedicated data engineering role. You will own our data warehouse and the pipelines that feed it, decide what the data platform looks like, and become the person the business relies on for answers.

What You'll Do

  • Develop and maintain our AWS-based data platform for a quickly scaling business.
  • Build and own our data warehouse and the pipelines that feed it from product, CRM and third-party systems.
  • Model data for analytics and reporting so analysts, product and leadership can rely on it, and keep those models tested and documented.
  • Contribute to architecture decisions and technical direction across the platform.
  • Ensure data quality, performance and scalability.
  • Own data protection obligations within our pipelines, including retention, deletion and subject access requests.
  • Collaborate with product managers, analysts and engineers across distributed teams to deliver high-impact solutions.
  • Leverage AI-powered engineering tools to accelerate delivery while maintaining high standards of quality, security and operational excellence.

Basic Qualifications

  • 5+ years of professional experience building and running production data pipelines end to end.
  • Data warehouse design and modelling, including dimensional modelling, slowly changing dimensions, incremental and full-refresh builds, and schemas analysts can query unaided.
  • Hands-on production experience with Redshift, including loading strategies, distribution and sort key design, workload management, query tuning and cost control. An equivalent columnar warehouse (Snowflake, BigQuery) is acceptable with a credible transfer story.
  • Experience running dbt in production, including testing, documentation and CI.
  • Strong SQL, including tuning analytical queries, and strong Python.
  • Experience with relational and NoSQL databases, including Postgres (with JSONB) and DynamoDB or equivalent, and real experience getting analytical value out of NoSQL stores through change data capture, export patterns, denormalisation and schema drift.
  • Hands-on experience designing, deploying and operating data services on AWS, including S3, Glue, Athena, Lambda, EventBridge, Kinesis/Firehose, RDS, IAM and CloudWatch.
  • Experience with infrastructure automation and observability, including infrastructure as code (Terraform).
  • Experience handling regulated personal data in the UK, including GDPR, retention and subject access requests.
  • Comfortable using AI coding assistants (e.g. Claude Code, Cursor, GitHub Copilot) as part of the development workflow.
  • Strong communication skills in English. Russian is a plus.

Preferred Qualifications

  • Microsoft Dynamics 365 or Dataverse data extraction (Synapse Link, Dataverse API).
  • Mortgage, property or financial services domain experience.
  • Experience with BI tooling such as Looker or Metabase.
  • Familiarity with managed ingestion tools such as Fivetran or Airbyte.
  • AWS certification.

What We Offer

  • Challenging tasks with a great opportunity to level up your skills.
  • 20 working days of paid vacation, with additional days off following the UK holiday calendar.
  • Working hours of 9:00-17:00 London time.
  • An international team spread across Ukraine and Azerbaijan.

Ready to Build?

OneDome is small enough that your work is visible and large enough that it matters. This is the first data role here, so the warehouse, the models and the standards will be yours to set. If you want to help reshape one of the biggest transactions in people's lives, we would love to hear from you.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data EngineeringRemote

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.