Data Engineer (Mid-Level / Senior)

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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Salary

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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 checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Data Engineer (Mid-Level / Senior) Gżira, Il-Gżira, Malta Company Description: Sports betting, gaming and interactive entertainment is changing, and we're leading that change. By putting people first. By placing exciting, engaging and entertaining experiences at more fingertips than ever before. We're pulling into pole position by pushing boundaries further. With innovation. With technology. But most importantly, with people like you. Because when you join Entain, it's your game. So let's win together. Job Description: We are looking for a mid-level or senior Data Engineer to join the United Data Team at Entain CEE. You will work as part of an international, cross-functional team of data professionals, contributing to the development of our modern cloud-based data platform and the data services that power our products and operations. In this role, you will design and build scalable pipelines, data models, and integrations, helping deliver reliable, production-ready data systems that support decision-making and enable data-driven growth across our brands. You will: Build and maintain data ingestion and transformation pipelines (batch & streaming) across multiple brands. Work closely with stakeholders in data engineering, analytics, and data science to ensure data is reliable, high-quality, and business-ready. Use modern data tools and frameworks such as GCP, Confluent Cloud (Kafka), Dataform, Airflow, Terraform, GitLab to deliver production-grade data systems. Support integration of multiple source systems using Debezium (CDC) and streaming technologies. Collaborate in an agile environment focused on continuous improvement, automation, and delivery. Key Responsibilities Develop, deploy, and monitor scalable data pipelines for real-time and batch processing.

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