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! 

As a Mid-Level Data Engineer at LENSA you will work across our AWS-based ecosystem to build, operate, and improve the data pipelines and infrastructure that support analytics, machine learning, and internal products. This role is ideal for engineers who are confident in their foundations, can independently own features end-to-end, and want to deepen their expertise in distributed systems, data modeling, and cloud architecture.

What You’ll Do

• Develop, maintain, and improve batch and streaming ETL/ELT pipelines used across analytics and MLworkflows

• Build scalable data processes using Python, SQL, Spark, and AWS services (EC2, Lambda, EMR, Step Function, Glue)

• Implement and enhance data ingestion and transformation pipelines that load and structure data in our Data Warehouse (Redshift)

• Contribute to the design and development of new data models for reporting, metrics, and operationalneeds

• Operate within our AWS environment and contribute to our infrastructure using AWS CDK

• Participate in code reviews and help drive best practices for data quality, reliability, and CI/CD  workflows

• Collaborate with analysts, data scientists, and engineering teams to translate requirements into  usable technical solutions

• Produce and maintain team documentation, runbooks, and diagrams

• Support the development of ML-related pipelines, including training and inference layers

What You Bring

• 3+ years of hands-on experience in data engineering or a related field

• Solid programming experience in Python and strong SQL proficiency (CTEs, window functions,  complex transformations)

• Experience in building and maintaining data pipelines or data-related backend services

• Understanding of data modeling and MPP concepts (Redshift, BigQuery, Snowflake)

• Hands-on experience with cloud services, preferably AWS

• Familiarity with distributed data tools such as Spark, Flink or similar frameworks

• Ability to follow established workflows and deliver high-quality, production ready solutions with minimal supervision

• Clear, reliable communication skills and a collaborative mindset

Bonus Points

• Experience using AWS CDK or other IaC frameworks

• Familiarity with metadata management, data governance, or data quality frameworks

• Experience building CI/CD pipelines (GitLab CI or similar)

• Previous work with Redshift, Athena, or large-scale analytical modeling

What we offer:

• Flexible working hours with home office opportunity

• Medicare health insurance

• Company breakfast and lunch every day in the office

• Office massage

• Udemy business account for continuous learning and self-development

• 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!