Lensa.com is one of the biggest recruitment and career platforms on the United States market, with 20+ million registered users. The company is founded and managed by Hungarian professionals who introduced and developed the well known Profession.hu.
Our product represents the future of career development: job search that puts people first while reducing the time and cost of talent acquisition. Using machine learning, we instantly match job seekers with positions that fit their skills, career goals and personalities. We make the world better, by placing every job seeker in the best possible positions for them. We are proud of our 4.3+ Trustpilot score!
Lensa is dedicated to achieving its business goals with cutting-edge, scalable technologies. With teams in multiple U.S. locations and a talented crew of developers, product managers and data scientists in Budapest, we are working every day to share our transformative career technology with the world.
If you're interested in joining our journey and contributing to our success as part of our dynamic international team, we look forward to receiving your application!
About the role
As a Data Engineer, you will take ownership of major parts of our data platform and help shape how data is collected, processed, modeled, and delivered across the company. You will design and build large-scale data architectures, guide engineering decisions, and work closely with cross-functional partners to enable data-driven products and operations.
This role requires both technical excellence and strong soft skills, including clear communication, ownership, and the ability to drive alignment across functions.
What You’ll Do
Design data structures, batch and streaming pipelines, and processes for large-scale analytics and machine learning
Design, optimize and implement robust ETL/ELT workflows to feed Data Warehouse (Redshift) and other analytical layers for reporting, analytics, and operational use cases
Maintain, improve, and troubleshoot production pipelines, ensuring high reliability and performance
Own the architecture and development of core data systems end-to-end
Mentor Mid-Level and Junior Engineers and provide guidance on best practices, workflow standards, and troubleshooting
Collaborate closely with Data Scientists, Product, and Engineering teams to translate business requirements into scalable data solutions
Document systems, pipelines, and architecture; maintain runbooks and operational guides
Identify technical risks, propose solutions, and drive improvements in platform design, reliability, and performance
Participate in code reviews, provide technical mentorship, and help establish best practices
What You Bring
5+ years of hands-on experience in data engineering or a related field
Strong programming skills in Python and SQL (CTEs, window functions, complex joins, stored procedures)
Experience building batch and real-time data pipelines with Spark, Flink or similar frameworks
Solid understanding of ETL/ELT workflows, CI/CD pipelines, and production-grade deployment practices
Strong knowledge of data modeling, Redshift or similar MPP data warehouses, and distributed systems
Experience with AWS or other cloud provider services (EC2, Lambda, Step Functions, Glue, Redshift, S3)
Ability to operate independently, solve complex problems, and make sound technical decisions
Excellent communication skills and ability to work with both technical and non-technical stakeholders
Solid communication skills in English
Bonus Points
Experience designing infrastructure as code using AWS CDK or Terraform
Experience with ML model training, evaluation, and inference pipelines
Knowledge of data governance, metadata management, and data quality frameworks
Track record of designing analytical layers and building scalable data platforms from scratch
What We Offer
Flexible working hours with home office opportunity
Medicover health insurance
Company lunch every day in the office
In-house gym in the office
Exciting programs and team-building events
Recreation room with darts, ping pong, foosball, XBox, and other games
Modern and fancy office in Buda close to Széll Kálmán tér
If you prefer to work in a startup environment but still a stable, fast growing company, and you’re interested in the role please do not hesitate to apply!
