Data Engineer at Bet On Talent

May no longer be active — verify on the employer site

At a glance

Company
Bet On Talent
Location
Malta
Work arrangement
On-site
Employment type
Full-time
Experience
0–2 years
Working hours
40 hours
Visa sponsorship
Offered, according to the listing
Posted
Added to The Stack

✨ The Stack take on this Bet On Talent job

  • 🏢 This is Bet On Talent's only job here right now

Updated 2026-11-03, from our data and official sources.

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About the role

Responsibilities:
- Own end-to-end data pipelines: orchestration, ingestion, transformation (dbt) and serving across the business.
- Maintain and optimise the data warehouse for performance, reliability and pipeline health.
- Shape and evolve the company data model to meet changing product and analytics needs.
- Use AI tools to accelerate pipeline development, troubleshooting and data quality checks.
- Partner with product and analytics teams to gather requirements and translate them into reliable, documented pipelines.
- Contribute to data architecture and tooling decisions as the platform grows.

Requirements:
- 1+ years hands-on data engineering experience and at least 1 year in iGaming (preferred by the team).
- Strong experience with dbt, data ingestion and data warehousing concepts; solid Python and SQL skills.
- Comfortable using AI models to improve workflows and troubleshoot issues.
- Good communication skills, ownership mentality and ability to work in a fast-paced startup environment.
- Nice-to-have: 3+ years experience, familiarity with Airflow, Airbyte, Git, Snowflake and AWS; proven end-to-end pipeline ownership.

Responsibilities

You will own the end-to-end data pipeline, including orchestration, ingestion, transformation, and serving of data. Additionally, you will maintain the data warehouse and partner with business teams to translate their needs into reliable data models.

Requirements

The role requires at least 1 year of experience in data engineering and iGaming, along with strong proficiency in Python, SQL, dbt, and data warehousing tools. Experience with AI models and a collaborative mindset are essential for success in this fast-paced environment.

Key skills

  • Data engineering — in 118 other listings on The Stack
  • Dbt — in 100 other listings on The Stack
  • Data ingestion — in 7 other listings on The Stack
  • Data warehousing — in 55 other listings on The Stack
  • Python — in 1173 other listings on The Stack
  • SQL — in 527 other listings on The Stack
  • Airflow — in 95 other listings on The Stack
  • Airbyte — not in any other listing on The Stack
  • Git
  • Snowflake
  • AWS
  • AI models
  • Data modeling
  • Communication skills

On The Stack (as of 2026-11-03)

Frequently asked questions about Bet On Talent

Is this Data Engineer role still open?

It was posted on 2026-08-27. Listings more than 30 days old may no longer be active, so check Bet On Talent's site before applying.

Does Bet On Talent offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Bet On Talent's site.

Where is this role located?

The listing gives the location as Malta. It is marked on-site.

What skills does this role ask for?

The listing names: Data engineering, Dbt, Data ingestion, Data warehousing, Python, SQL, Airflow, Airbyte, Git, Snowflake, AWS, AI models, Data modeling, Communication skills.

All roles at Bet On Talent

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