Data Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Mid From the posting source

Schedule

Shift type

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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About this role

Data Engineer Croatia We are on a mission to pioneer the world's next era of play. As we grow across Europe and Latin America, we're building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. Are you excited about building modern data infrastructure that empowers self-service analytics at scale? At Super Technologies, data is a strategic enabler of decision-making, experimentation, and performance measurement. Our Analytics Platform team builds the foundations that make data reliable, accessible, and actionable - partnering with product and business teams to measure what matters. You'll be joining a mature and growing community of 40+ data engineers who are shaping one of the most advanced data ecosystems in the industry. What the role involves Design, build, and optimise scalable ETL/ELT pipelines for high-volume, fast-changing datasets. Apply proven data warehouse methodologies (e.g. Kimball, Inmon) to design and deliver trustworthy, performant data models. Develop and maintain semantic layers and curated data marts to enable analytical self-service across the company. Orchestrate reliable workflows with modern tooling such as Apache Airflow. Enforce data quality, lineage, and observability practices to ensure confidence in our data products. Partner with product, analytics, and engineering teams to co-create scalable data solutions that deliver measurable business value. Raise the engineering bar

Read the full description at job-boards.eu.greenhouse.io. FewerJobs shows a preview and links to the original posting.