Data Engineer - Real-Time
Malta
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingYou will design, develop, and operate the core platform capabilities that power streaming data pipelines, event-driven applications, and self-service data products.
From the employer’s posting
This role sits at the heart of our real-time data platform, empowering teams to build, deploy, and scale data products that drive critical business decisions and customer experiences. You will design, develop, and operate the core platform capabilities that power streaming data pipelines, event-driven applications, and self-service data products. Working at the intersection of software engineering and data engineering, you will create scalable frameworks, tooling, and developer experiences that enable our teams to deliver reliable solutions with speed and confidence. A taster of what you will be involved with:
What you’ll bring
All qualificationsCore experience
- Experience building reusable frameworks, libraries, or internal tools.
- Familiarity with real time reporting tools like Grafana or Datadog
- Deep knowledge of SQL and data integration patterns.
- Familiarity with Data Modelling Concepts like Inmon, Kimball and Data Vault
- Experience in modern cloud database technologies such as Snowflake or Redshift are considered an asset.
- Knowledge AWS services like Glue, Lambda, Step Functions and S3
Qualification wording
Experience building reusable frameworks, libraries, or internal tools.
Familiarity with real time reporting tools like Grafana or Datadog
Deep knowledge of SQL and data integration patterns. Experience in modern cloud database technologies such as Snowflake or Redshift are considered an asset.
Familiarity with Data Modelling Concepts like Inmon, Kimball and Data Vault
Knowledge AWS services like Glue, Lambda, Step Functions and S3
Tools in this posting
- Scala
- SQL
- AWS
- Grafana
- Kafka
- NoSQL
- Redshift
- Snowflake
- Spark
- PySpark
- Python
- Java
- S3
- Terraform
- Dynamodb
- Datadog
- Airflow
Source — Tool mentions in context
- At least 3 years of hands-on experience building and operating real-time or event-driven data platforms and streaming applications. - Strong software engineering fundamentals, with experience in a language like Python, Scala or Java. - Experience building reusable frameworks, libraries, or internal tools.
- Experience with data streaming technologies such as Kafka is a must. - Strong experience building distributed data processing workloads using Apache Spark (PySpark and/or Scala). - Hands-on experience designing and operating event-driven architectures on AWS, including services such as MSK, Kinesis Data Streams, EKS, EMR, Lambda, and EventBridge.
- Experience building reusable frameworks, libraries, or internal tools. - Deep knowledge of SQL and data integration patterns. Experience in modern cloud database technologies such as Snowflake or Redshift are considered an asset. - Experience with data streaming technologies such as Kafka is a must.
- Strong experience building distributed data processing workloads using Apache Spark (PySpark and/or Scala). - Hands-on experience designing and operating event-driven architectures on AWS, including services such as MSK, Kinesis Data Streams, EKS, EMR, Lambda, and EventBridge. - Experience in NoSQL databases such as HBase, Cassandra, and DynamoDB.
- Familiarity with Data Modelling Concepts like Inmon, Kimball and Data Vault - Knowledge AWS services like Glue, Lambda, Step Functions and S3 - Experience with orchestrating data pipelines using tools like Airflow.
Nice to have: - Familiarity with real time reporting tools like Grafana or Datadog - Familiarity with Data Modelling Concepts like Inmon, Kimball and Data Vault
- Deep knowledge of SQL and data integration patterns. Experience in modern cloud database technologies such as Snowflake or Redshift are considered an asset. - Experience with data streaming technologies such as Kafka is a must. - Strong experience building distributed data processing workloads using Apache Spark (PySpark and/or Scala).
- Hands-on experience designing and operating event-driven architectures on AWS, including services such as MSK, Kinesis Data Streams, EKS, EMR, Lambda, and EventBridge. - Experience in NoSQL databases such as HBase, Cassandra, and DynamoDB. - Excellent verbal and writing English communication skills.
- Experience building or managing APIs and microservices. - Familiarity with infrastructure scripting like Terraform and CI/CD practices. What we offer
- Knowledge AWS services like Glue, Lambda, Step Functions and S3 - Experience with orchestrating data pipelines using tools like Airflow. - Experience building or managing APIs and microservices.
Job description
The Wow
This role sits at the heart of our real-time data platform, empowering teams to build, deploy, and scale data products that drive critical business decisions and customer experiences.
You will design, develop, and operate the core platform capabilities that power streaming data pipelines, event-driven applications, and self-service data products. Working at the intersection of software engineering and data engineering, you will create scalable frameworks, tooling, and developer experiences that enable our teams to deliver reliable solutions with speed and confidence.
A taster of what you will be involved with:
- Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing.
- Develop and maintain the platform's core capabilities, such as orchestration, data quality validation, and schema management tools.
- Evolve the platform's architecture to incorporate new technologies that improve scalability, reliability, and cost-effectiveness.
- Collaborate with Data DevOps Engineers to ensure platform features are automated, observable, and deployed via CI/CD.
- Act as a key contributor to the platform's roadmap, identifying and prioritizing features that unlock the most value for its users.
What we are looking for:
Must haves:
- University Degree in Computer Science, Engineering or equivalent.
- At least 3 years of hands-on experience building and operating real-time or event-driven data platforms and streaming applications.
- Strong software engineering fundamentals, with experience in a language like Python, Scala or Java.
- Experience building reusable frameworks, libraries, or internal tools.
- Deep knowledge of SQL and data integration patterns. Experience in modern cloud database technologies such as Snowflake or Redshift are considered an asset.
- Experience with data streaming technologies such as Kafka is a must.
- Strong experience building distributed data processing workloads using Apache Spark (PySpark and/or Scala).
- Hands-on experience designing and operating event-driven architectures on AWS, including services such as MSK, Kinesis Data Streams, EKS, EMR, Lambda, and EventBridge.
- Experience in NoSQL databases such as HBase, Cassandra, and DynamoDB.
- Excellent verbal and writing English communication skills.
Nice to have:
- Familiarity with real time reporting tools like Grafana or Datadog
- Familiarity with Data Modelling Concepts like Inmon, Kimball and Data Vault
- Knowledge AWS services like Glue, Lambda, Step Functions and S3
- Experience with orchestrating data pipelines using tools like Airflow.
- Experience building or managing APIs and microservices.
- Familiarity with infrastructure scripting like Terraform and CI/CD practices.
What we offer
Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.
Challenge accepted?
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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.
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Source & posting history
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
Malta
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Aug 5, 2026
- Recorded sightings
- 55
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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