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Novibet

Posted 1 month ago

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Analytics Engineer

AthensOn-siteFull-time

AI Summary

Analytic engineer who designs and maintains scalable data pipelines and curated datasets to support analytics, reporting, and decision-making across the business, primarily using Azure Databricks, SQL, and Python.

About this role

馃摙 Join Novibet as an Analytics Engineer!

Are you ready to take on a key role in a dynamic, fast-growing company? If you have a passion for Data Analytics and thrive in a fast-paced environment, this could be the right opportunity for you.

Who We Are

Founded in 2010, Novibet is an established GameTech company operating in Europe, the Americas, and ROW countries (Greece, Brazil, Ireland, Finland, Mexico, Chile, Ecuador, Cyprus, and New Zealand), with hubs in Greece, Malta, Brazil, and Mexico and 1200+ employees across all countries of operation. We are committed to staying at the forefront of technological advancements, continually pushing boundaries and delivering seamless entertainment and online gaming experiences to our rapidly expanding customer base.

Why Novibet

At Novibet, you are empowered to excel, prioritising growth through listening and learning as part of a group of forward-thinkers and doers continuously adapting to new challenges. We are equally committed to fostering a positive, inclusive, and supportive workplace culture that empowers every individual to thrive.

Join us, and you will be part of a team of over 1,200 people worldwide that values collaboration, innovation, and personal growth.

What you will work on

We are looking for a highly skilled Analytics Engineer to join our growing BI/Analytics Engineer team at Novibet. In this role, you will design, build, and maintain scalable data pipelines and curated datasets that power analytics, reporting, and decision-making across the business. You will work closely with Data Analysts, BI Analysts, and collaborate daily with the Data Analytics Team to ensure reliable, high-quality data products in Azure Databricks.

Key Responsibilities

  • Create, maintain, and optimize scalable ETL/ELT pipelines to efficiently process and exchange data across our analytics ecosystem.
  • Build and maintain robust transformations in Azure Databricks, ensuring pipelines can handle large workloads, complex business logic, and integrations.
  • Partner with Data Analysts and BI Analysts to deliver analytics-ready datasets that meet reporting, KPI, and visualization needs (Tableau/Looker/Power BI or equivalent).
  • Continuously evaluate and enhance the BI/data platform with a focus on reliability, scalability, efficiency, monitoring, and cost-awareness.
  • Implement and promote data quality practices (validation checks, reconciliation, testing patterns) to improve trust in reporting and decision-making.
  • Troubleshoot and maintain existing pipelines, datasets, and related business processes; perform root-cause analysis and implement long-term fixes.
  • Contribute to a culture of continuous improvement and knowledge sharing, including documentation, best practices, and reusable components.

What you bring

  • 3+ years of experience in Analytics Engineering, Data Engineering, or a related field.
  • Strong SQL skills for data transformation, modeling, and performance optimization.
  • Strong Python skills for data manipulation, automation, and pipeline support.
  • Hands-on experience with version control and collaborative development workflows (e.g., GitHub / GitLab).
  • Understanding of modern data warehouse/lakehouse principles and cloud-based analytics platforms (preferable Databricks).
  • Familiarity with Apache Spark / distributed data processing concepts (PySpark is a plus).
  • Proactiveness, solution-oriented mindset with a passion for tackling complex challenges and delivering impactful data solutions.
  • Ability to design and implement solutions from the ground up, with strong ownership and attention to detail.
  • Strong analytical and problem-solving abilities, with the confidence to challenge assumptions and improve existing processes.
  • Familiarity with working independently and collaboratively in a fast-paced environment, communicating clearly with technical and non-technical stakeholders.

Nice to have

  • Exposure to workflow orchestration tools such as Apache Airflow or Dagster.
  • Experience with data quality/testing frameworks, pipeline monitoring, and alerting (e.g., expectations-style checks, logging, SLAs).

What we offer

We truly value our people at Novibet! Within our vibrant, dynamic, and fast-paced environment, we encourage everyone to reach their full potential while enjoying every step of the journey. Here鈥檚 how we make that happen:

  • 馃挵Competitive Compensation: Attractive salary and bonus scheme
  • 馃鈥嶁殨锔廐ealth insurance: Group health & medical insurance package
  • 馃捇Top-Notch Equipment: All the tools you need for your role
  • 馃殌Career Growth: Focused career development, performance management, and training opportunities
  • 馃殫Alternative Transportation: Shuttle buses & Carpooling options
  • 馃弸锔廎ree access to our in-house gym to keep you energized
  • 馃實Inclusive Environment: A welcoming, international, and multicultural team
  • 馃帀Engaging Activities: Exciting events, sports, and team-building activities

At Novibet we value diversity and are committed to an inclusive and equitable workplace. All decisions regarding recruitment, hiring, promotion, compensation, employee training and development, and all other terms and conditions of employment, are made without regard to race, religious beliefs, color, gender identity, sexual orientation, marital status, disability or chronic disease, age, ancestry or place of origin.

Skills

Apache SparkAzure DatabricksData ModelingData Orchestration (Airflow Or Dagster A Plus)Data Quality ChecksData ValidationData Warehouses / Lakehouse ConceptsETL/ELT PipelinesGitHub / GitLabLookerPower BIPySparkPythonSQLTableau

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