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Data Engineer

LUXOFT, A DXC TECHNOLOGY COMPANY
Remote Ukraine Posted Oct 22, 2026
Remote

About this role

Data Engineer

Project description

Our client is an energy solutions provider. Our AI-enabled platform supports operations, tracking and decision-making to optimize large-scale renewable and traditional energy portfolios. We're delivering a key client MVP in February 2027, and the project continues into 2028. Our stack: Ruby on Rails, Node.js/TypeScript and Python services, PostgreSQL, Snowflake and AWS. We're looking for an autonomous data engineer to strengthen our data foundation through good modeling, clean schemas, reliability and automation.

Responsibilities

  • Work closely with product teams to help define and execute technical criteria

  • Architect and maintain robust data ingestion pipelines that feed both our application and analytics

  • Design well-modeled, layered tables with clean schemas that turn raw data into analytics-ready data

  • Help onboard client data from a variety of sources, such as Databricks via Delta Sharing, and integrate it with our existing services and workflows

  • Make pipelines reliable and automated: data quality tests, monitoring, safe reprocessing and schema change handling

  • Build a documented, well-tested data foundation that serves the app, analytics and future AI use cases

Skills

  • Must have

  • Mid-to-senior data engineer who has owned the design of production data pipelines end to end, working as an autonomous IC

  • Designing and building production ingestion pipelines from APIs, files and shared-data sources, using a workflow orchestrator (any tool, e.g. Airflow, Dagster or Step Functions)

  • Production experience with a cloud data warehouse (Snowflake preferred)

  • Strong SQL, plus production experience in Python (preferred) or Node.js/TypeScript

  • AWS or another enterprise cloud platform

  • AI-native development: daily use of agentic AI coding tools, and experience scaling shared AI workflows across a team and into the development lifecycle, including CI/CD

  • Strong English and communication skills

  • Nice to have

  • dbt

  • Preparing data for AI/LLM use (e.g. semantic layers, metadata, retrieval-ready datasets)

  • Infrastructure as code (e.g. Terraform)

  • Exposure to energy, utilities or sustainability data

  • Other

  • Languages

  • English: B2 Upper Intermediate

  • Seniority

  • Senior

  • Remote Ukraine, Ukraine

  • Req. VR-124845

  • Data Platform Engineering

  • Cross Industry Solutions

  • 22/10/2026

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