DataArt

data engineer for data engineering

In short

This is a lead-level, fully remote Data Engineering role providing technical direction, planning, and delivery for a data engineering team. The job requires strong hands-on experience with a major cloud platform (AWS, Azure, or GCP), Apache Spark, SQL/data modelling, CI/CD and Git-based workflows, as well as web scraping and Master Data Management knowledge. It demands strong ownership, cross-team collaboration (Backend, AI, QA, DevOps, Product, Architecture), and clear stakeholder communication. Salary and benefits are not specified.

Description
No description provided.
Responsibilities
•Lead the day-to-day work of the Data Engineering team, including technical direction, planning, prioritization, and delivery
•Translate client requirements into technical scope, implementation activities, estimates, and delivery plans
•Contribute to solution design by proposing approaches, reviewing architectural decisions, and constructively challenging them when appropriate
•Work with the Data Architect to ensure proposed solutions are practical, scalable, and aligned with implementation needs
•Coordinate team priorities, task ownership, dependencies, and progress
•Review technical solutions, code changes, database changes, and implementation approaches
•Support engineers with technical decisions and blockers
•Take ownership of problems and drive them through investigation, resolution, and validation
•Identify risks and dependencies early and coordinate with relevant teams to resolve them
•Collaborate with Backend, AI, QA, DevOps, Product, and Architecture teams
•Communicate progress, risks, estimates, and technical decisions clearly to stakeholders
Requirements
•Strong experience in data engineering, technical leadership, and delivery coordination
•Hands-on experience with at least one major cloud platform, preferably AWS, Azure, or GCP
•Experience with cloud services for batch processing, object storage, relational databases, messaging, containers, and serverless computing
•Experience with Apache Spark
•Strong knowledge of SQL, relational databases, and data modelling
•Experience with Git-based development, code reviews, and CI/CD tools such as GitHub Actions, Azure DevOps, or equivalent platforms
•Experience with web scraping and web parsing
•Understanding of Master Data Management
•Ability to understand client requirements and translate them into technical scope, estimates, and delivery plans
•Ability to evaluate technical and architectural proposals, suggest alternatives, and provide constructive feedback
•Strong ownership and a proactive approach to identifying and resolving blockers
•Clear communication, collaboration, and interpersonal skills
Nice to have: equivalent experience with other cloud platforms and engineering tools
Conditions
No conditions specified in the posting.

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