Senior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🌐 Ukraine, Azerbaijan – Remote

🇺🇦 Ukraine – Remote 🇦🇿 Azerbaijan – Remote

💵 $4.5k - $5.5k / month

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 8%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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OneDome

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

⚖️ Legal

💰 Private Equity Round on 2022-11

Consulting • Logistics • Legal

OneDome is a company that provides a comprehensive platform for buying, selling, and managing property-related services. It offers a convenient and efficient way for users to navigate the home buying and selling process by providing tools like Buyer Passport, HomeSelling 360, and conveyancing and mortgage services. By integrating services such as finding a conveyancer and estate agents, OneDome aims to simplify the entire property transaction experience for both buyers and sellers. The platform boasts features that make the home moving process faster, cheaper, and less stressful, with a focus on user support and transparency throughout the journey. It has been recognized for its innovative approach to the property industry as it continuously strives to reinvent the home buying and selling experience.

📋 Description

• Develop and maintain the AWS-based data platform for a quickly scaling business • Build and own the data warehouse and pipelines feeding it from product, CRM and third-party systems • Model data for analytics and reporting • Keep data 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 pipelines, including retention, deletion and subject access requests • Collaborate with product managers, analysts and engineers across distributed teams • Leverage AI-powered engineering tools to accelerate delivery while maintaining quality, security and operational excellence

🎯 Requirements

• 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; Snowflake or BigQuery 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 • 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 such as Claude Code, Cursor or GitHub Copilot • Strong communication skills in English • Russian is a plus • Preferred: Microsoft Dynamics 365 or Dataverse data extraction; mortgage, property or financial services domain experience; Looker or Metabase; Fivetran or Airbyte; AWS certification

🏖️ Benefits

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