Data Engineer, Data Science Focused
ComeOn Group
full-time
Posted on:
Location Type: Hybrid
Location: St. Julian's • Malta
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About the role
- Collaborate closely with Data Scientists to design, build, and maintain robust, scalable, and reliable batch and streaming data pipelines, serving high-volume data essential for training and deploying data science and ML models in our cloud environment.
- Implement cutting-edge data engineering best practices to guarantee the quality, consistency, and lineage of crucial model training data and feature sets, ensuring high reliability for production data science/ML systems.
- Troubleshoot and resolve complex issues with data feeds, ensuring uninterrupted flow and availability.
- Establish and maintain strong communication channels between Business Stakeholders, Data Scientists and Engineering teams regarding the strategic development and deployment of machine learning projects and the effective use of company data.
- Assume full ownership of the data science data development lifecycle, from raw data ingestion to production model data serving, and possess the ability to work independently when necessary.
Requirements
- Experienced data engineer with 3+ years in data integration & real time streaming
- Experience in programming with Python and SQL, potentially Java
- Understanding data warehousing concepts, schema design (star schema, snowflake schema, denormalization), and optimization techniques
- Experience in distributed frameworks like Spark or Flink
- Experience with GCP (preferred) or AWS Cloud data processing solutions
- Experience with BigQuery, Pub/Sub, Dataflow, Datastream is a plus
- Excellent command of spoken English
- Keen attention to detail and data quality
- Comfortable working in a fast-paced environment whilst interacting with a variety of different disciplines
- Proven ability to prioritise and deal with problems systematically and provide clear communications regarding the issues, resolution times and solutions
- Hold an academic degree in a quantitative discipline such as computer science or mathematics (nice to have)
- Experience within the iGaming industry and involved in machine learning projects (e.g. personalised Sportsbook and Casino recommendations) (nice to have)
- Previous working experience as machine learning engineer will be considered an asset (nice to have)
- Experience with Airflow Experience in business analysis and requirements gathering (nice to have)
Benefits
- A competitive remuneration package inc. a company bonus scheme! 💰
- Fantastic quarterly team events and weekly company events 😎
- A one-time bonus to help you set up a comfortable workstation at home (we’re truly Hybrid!) **🌎**
- On top of our Hybrid work arrangement, up to 40 days a year to work fully remote from anywhere
- €250 Annual Wellbeing Allowance (Claimable after probation).
- A comprehensive, International private Health Insurance.
- A €250 One-time Hybrid Allowance to help you set-up your home office.
- Breakfast at the office on Tuesdays.
- Lunch at the office on Mondays and Wednesdays 🤤
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data integrationreal time streamingPythonSQLJavadata warehousingschema designSparkFlinkGCP
Soft Skills
communicationattention to detailproblem solvingprioritizationindependencecollaborationadaptabilitysystematic thinkingclear communicationfast-paced environment