Lead Data Engineer

United States Digital Space LLC; Dublin; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

International projects

In-office, hybrid, or remote

Medical healthcare

Recognition program

Ongoing learning & reimbursement

Well-being program

Team events & local benefits

Sports compensation

Referral bonuses

Top-tier equipment provision

Job summary

United States Digital Space LLC in Ireland is seeking a hands-on data engineer/backend engineer to join our AI-first engineering team. You will review data sources, build pipelines, and help architect integrations across cloud platforms.

The role emphasizes data readiness, risk assessment, and collaboration with stakeholders to deliver scalable data solutions for enterprise partners. Strong communication of risks is essential.

Qualifications

• Strong hands-on data engineering or backend engineering background.
• Experience with ETL/ELT, data pipelines, APIs, cloud data services, and enterprise integrations.
• Working knowledge of Azure, Databricks, Microsoft Fabric, AWS, or comparable platforms.
• Ability to assess data readiness and implementation feasibility.
• Experience supporting architecture and discovery phases.
• Ability to communicate technical risks clearly to non-technical stakeholders.

Responsibilities

• Review data sources, access patterns, interfaces, and integration options.
• Assess data availability, quality, completeness, and readiness for prioritized use cases.
• Identify ingestion, ETL/ELT, API, and system integration requirements.
• Validate whether proposed AI, automation, and reporting use cases are technically feasible.
• Identify implementation risks, blockers, dependencies, and assumptions.
• Support platform recommendation with implementation-level input.
• Provide rough sizing for Phase 2 build activities.
• Help distinguish what can be piloted quickly versus what requires deeper platform work.
• Support technical documentation for final recommendations.

Skills

Data engineering

Backend engineering

ETL/ELT

APIs

Cloud data services

Azure

Databricks

AWS

Enterprise integrations

Stakeholder communication

Tools

Azure

Databricks

Microsoft Fabric

AWS

Job description

Why Join the company

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

What You’ll Do

• Review available data sources, access patterns, interfaces, and integration options
• Assess data availability, quality, completeness, and readiness for prioritized use cases
• Identify ingestion, ETL/ELT, API, and system integration requirements
• Validate whether proposed AI, automation, and reporting use cases are technically feasible
• Identify implementation risks, blockers, dependencies, and assumptions
• Support platform recommendation with implementation-level input
• Provide rough sizing for Phase 2 build activities
• Help distinguish what can be piloted quickly versus what requires deeper platform work
• Support technical documentation for final recommendations

What You Bring

• Strong hands-on data engineering or backend engineering background
• Experience with ETL/ELT, data pipelines, APIs, cloud data services, and enterprise integrations
• Working knowledge of Azure, Databricks, Microsoft Fabric, AWS, or comparable platforms
• Ability to assess data readiness and implementation feasibility
• Experience supporting architecture and discovery phases
• Ability to communicate technical risks clearly to non-technical stakeholders

Nice to Have

• ERP, CRM, MES, finance, reporting, or operational systems integration
• Experience with data quality, master data, data ingestion, and platform modernization
• Exposure to AI/ML or GenAI implementation prerequisites

English level

Upper-Intermediate

Legal & Hiring Information

• the company is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more.
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions.
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs.
• Compensation details are shared with candidates at the early stage of the recruitment process.
• The offer is not binding until a signed contract is in place.

Your Benefits at the company

the company benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement
• Well-being program
• Team events & local benefits
• Sports compensation
• Referral bonuses
• Top-tier equipment provision

the company Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.