About the Role

We are looking for a Senior Data Engineer to join our growing data function. It's all about taking ownership of data pipelines on AWS - designing, building, and making them run smoothly for both real-time and batch data.

We need the Data Engineering function to act as the Subject Matter Expert for all stakeholders (marketing, product, retention, etc.), ensuring they have solid, reliable data for their decisions.

The example projects include migrating to low-latency, real-time data replication; building out a mature dbt modeling layer; and implementing AI-driven monitoring for automated issue detection.

Arena Entertainment operates multiple iGaming and online casino brands within the digital entertainment space. This role will initially focus on the Metawin and HIT brands, which have a strong crypto focus.

At Arena, AI is a must-have tool, not a nice-to-have. We expect all engineers to use AI tools (e.g. Copilot, Claude) to code faster, automate boring stuff, and generally be smarter about their work.

About you

You are a Team Player. We need you to jam with the data science team and other departments. Be ready to jump in and help your teammates with reporting or analytics if they're swamped.

You believe documenting everything is part of the job. Seriously, we're growing fast with lots of brands, so clear docs are essential for keeping things tidy, transparent and sustainable.

You love building things right, but also understand the need to be flexible. We gotta clean up tech debt, but sometimes we just need to ship it fast. Be ready to make trade-offs.

You are not afraid to learn new things. We want you to be curious about how the business works and use your tech skills to solve real-world problems.

You are a great communicator. You need to talk clearly to both techies and non-tech people. Let us know when you hit a blocker, and don’t suffer in silence!

Our tech stack

Cloud Platform: AWS (S3, Lambda, DMS, Cloudwatch)
Data Warehousing: Snowflake, Postgres
Transformation & Modeling: dbt (Core/Cloud), SQL, Python
Orchestration: Airflow, Dagster
Data Ingestion (ETL/CDC): Fivetran, DMS, Debezium
Streaming & Real-time: Kafka, Kinesis
Infrastructure & DevOps: Terraform, Docker, Kubernetes/Helm, ArgoCD, GitHub Actions
Data Visualization (BI): Quicksight, PowerBI
AI & Productivity: GitHub Copilot, Claude, Gemini

Key Responsibilities

Build scalable ETL/ELT pipelines (using dbt, Airflow, Fivetran etc.).
Transform raw data into clean, usable models using dbt (and AI for docs/tests).
Manage and optimise data warehouses like Snowflake and Redshift.
Integrate different data sources (CRM, payments, games, etc.).
Own initiatives for data quality improvement and monitoring (e.g. anomaly detection, automated alerts).
Keep an eye on performance, cost, and security on AWS.
Work closely with cross-functional teams to bridge product development, data, and operations, establishing yourself as the Subject Matter Expert.
Help us move to real-time data ingestion & ETL using tools like DMS, Kafka, or Kinesis.
Help mentor the other engineers and contribute to the team's AI strategy.

Must haves

7+ years in Data Engineering.
Solid hands-on experience with AWS.
You really know ELT design and data warehousing best practices.
You're an expert in optimising Snowflake.
You're a dbt pro (macros, testing, modularisation).
Excellent SQL and Python skills.
Good CI/CD and Git skills.
You have used AI coding assistants to work efficiently.

Nice to haves

Experience building pipeline to handle high-volume data.
Know the iGaming lingo (GGR, LTV, RTP, acquisition KPIs).
Experience with affiliate or game provider data feeds.
Familiarity with real-time data ingestion.
Exposure to data science/ML pipelines (SageMaker, Bedrock).
Used AI tools for monitoring or query optimisation before.
QuickSight experience (especially SPICE/Direct Query).