Data Engineer
Gzira, Malta
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingAt Megapixel, data plays a key role in how we understand our customers, measure performance and make business decisions.
We are looking for a Data Engineer to join our growing Business Intelligence team and help develop, maintain and improve our data platform.
You will work with both batch and real-time data, building reliable pipelines and making sure data is available, accurate and ready for analysis.
Design, develop and maintain reliable batch and streaming data pipelines.
Maintain and improve our Spark-based data processing infrastructure.
From the employer’s posting
At Megapixel, data plays a key role in how we understand our customers, measure performance and make business decisions.
We are looking for a Data Engineer to join our growing Business Intelligence team and help develop, maintain and improve our data platform.
We are looking for a Data Engineer to join our growing Business Intelligence team and help develop, maintain and improve our data platform. You will work with both batch and real-time data, building reliable pipelines and making sure data is available, accurate and ready for analysis. You will also help improve the performance, reliability and scalability of our existing infrastructure. This is a hands-on role where you will work with a modern cloud-based data stack and have the opportunity to shape how our data platform evolves.
Key Responsibilities Design, develop and maintain reliable batch and streaming data pipelines. Maintain and improve our Spark-based data processing infrastructure.
Design, develop and maintain reliable batch and streaming data pipelines. Maintain and improve our Spark-based data processing infrastructure. Build and optimise data transformations and models in Snowflake using dbt.
What you’ll bring
All qualificationsCore experience
- Strong SQL skills and experience working with analytical databases or data warehouses.
- Experience with dbt and Snowflake.
- Hands-on experience with Apache Spark.
- Experience with Kafka or other streaming technologies.
- Experience with Apache Airflow or a similar workflow orchestration tool.
- Experience developing and maintaining data pipelines in a cloud environment, preferably AWS.
Qualification wording
Strong SQL skills and experience working with analytical databases or data warehouses.
Experience with dbt and Snowflake.
Hands-on experience with Apache Spark.
Experience with Kafka or other streaming technologies.
Experience with Apache Airflow or a similar workflow orchestration tool.
Experience developing and maintaining data pipelines in a cloud environment, preferably AWS.
Tools in this posting
- Java
- Python
- SQL
- AWS
- dbt
- Kafka
- Snowflake
- Spark
- Airflow
- Scala
- S3
Source — Tool mentions in context
- Strong SQL skills and experience working with analytical databases or data warehouses. - Good programming skills in Python, Java or Scala. - Hands-on experience with Apache Spark.
- At least 3 years of professional experience in data engineering or a similar technical role. - Strong SQL skills and experience working with analytical databases or data warehouses. - Good programming skills in Python, Java or Scala.
- Data streaming: Apache Kafka - Data processing: Apache Spark on AWS EMR - Cloud storage: Amazon S3
- Experience with Apache Airflow or a similar workflow orchestration tool. - Experience developing and maintaining data pipelines in a cloud environment, preferably AWS. - Good understanding of data modelling and data warehouse concepts.
- Data warehouse: Snowflake - Data transformation: dbt - Workflow orchestration: Apache Airflow
- Maintain and improve our Spark-based data processing infrastructure. - Build and optimise data transformations and models in Snowflake using dbt. - Manage and improve data pipeline orchestration using Airflow.
Nice to Have - Experience with dbt and Snowflake. - Experience with Kafka or other streaming technologies.
Our Technology Stack - Data streaming: Apache Kafka - Data processing: Apache Spark on AWS EMR
- Experience with dbt and Snowflake. - Experience with Kafka or other streaming technologies. - Previous experience in the iGaming industry.
- Cloud storage: Amazon S3 - Data warehouse: Snowflake - Data transformation: dbt
- Design, develop and maintain reliable batch and streaming data pipelines. - Maintain and improve our Spark-based data processing infrastructure. - Build and optimise data transformations and models in Snowflake using dbt.
- Good programming skills in Python, Java or Scala. - Hands-on experience with Apache Spark. - Experience with Apache Airflow or a similar workflow orchestration tool.
- Data transformation: dbt - Workflow orchestration: Apache Airflow Key Responsibilities
- Build and optimise data transformations and models in Snowflake using dbt. - Manage and improve data pipeline orchestration using Airflow. - Monitor data quality, pipeline reliability and system performance.
- Hands-on experience with Apache Spark. - Experience with Apache Airflow or a similar workflow orchestration tool. - Experience developing and maintaining data pipelines in a cloud environment, preferably AWS.
- Data processing: Apache Spark on AWS EMR - Cloud storage: Amazon S3 - Data warehouse: Snowflake
Posting record
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- Live
- First seen by us
- Oct 15, 2026 · 1d ago
- Recorded sightings
- 1
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
About the Role
At Megapixel, data plays a key role in how we understand our customers, measure performance and make business decisions.
We are looking for a Data Engineer to join our growing Business Intelligence team and help develop, maintain and improve our data platform.
You will work with both batch and real-time data, building reliable pipelines and making sure data is available, accurate and ready for analysis. You will also help improve the performance, reliability and scalability of our existing infrastructure.
This is a hands-on role where you will work with a modern cloud-based data stack and have the opportunity to shape how our data platform evolves.
Our Technology Stack
- Data streaming: Apache Kafka
- Data processing: Apache Spark on AWS EMR
- Cloud storage: Amazon S3
- Data warehouse: Snowflake
- Data transformation: dbt
- Workflow orchestration: Apache Airflow
Key Responsibilities
- Design, develop and maintain reliable batch and streaming data pipelines.
- Maintain and improve our Spark-based data processing infrastructure.
- Build and optimise data transformations and models in Snowflake using dbt.
- Manage and improve data pipeline orchestration using Airflow.
- Monitor data quality, pipeline reliability and system performance.
- Develop and maintain integrations with internal and third-party data sources.
- Investigate and resolve data pipeline and infrastructure issues.
- Apply good engineering practices, including testing, version control and CI/CD.
- Maintain clear technical documentation for data pipelines, systems and operational procedures.
- Collaborate with BI, product and engineering teams to understand data needs and deliver scalable solutions.
- Identify opportunities to simplify, automate and improve our data platform.
Requirements
- At least 3 years of professional experience in data engineering or a similar technical role.
- Strong SQL skills and experience working with analytical databases or data warehouses.
- Good programming skills in Python, Java or Scala.
- Hands-on experience with Apache Spark.
- Experience with Apache Airflow or a similar workflow orchestration tool.
- Experience developing and maintaining data pipelines in a cloud environment, preferably AWS.
- Good understanding of data modelling and data warehouse concepts.
- Familiarity with software engineering practices such as Git, testing and CI/CD.
- Strong problem-solving skills and the ability to troubleshoot technical issues.
- Ability to work independently and collaborate effectively with other teams.
- Good written and spoken English.
Nice to Have
- Experience with dbt and Snowflake.
- Experience with Kafka or other streaming technologies.
- Previous experience in the iGaming industry.
What the Company Offers
- Competitive salary and benefits package.
- Private health insurance.
- Fitness and wellness benefits.
- Regular wellness initiatives.
- Fresh fruit and snacks in the office.
- Weekly team lunches and breakfasts.
- Company and team events.
- Opportunities for continuous learning and professional development.
- Hybrid working arrangements: 4 days in the office and 1 day working remotely each week.
This role will be based on-site in our Gzira, Malta offices.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on megapixelltd.bamboohr.com. The employer’s form will show what is required.
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Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Gzira, Malta
- Opportunities for continuous learning and professional development. - Hybrid working arrangements: 4 days in the office and 1 day working remotely each week. This role will be based on-site in our Gzira, Malta offices.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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