Responsibilities:

•  Monitor and investigate suspicious transactions, merchants, and third-party activity daily.
• Dive deep into fraud patterns across our portfolio using BI tools – spot trends, think critically, and act fast.
• Partner with teams across the company and with external stakeholders to develop and implement top-tier fraud detection strategies.
• Build and enhance reports, tools, and processes to prevent fraud and chargebacks – your insights will directly influence our security.
• Communicate with merchants and partners to assess fraud risks and agree on next steps. You'll be a trusted go-to for SMB clients when it comes to compliance and fraud-related queries.
• Collaborate with card schemes like Visa and Mastercard on program breaches, appeals, investigations, and reporting.
• Stay on top of chargeback and fraud programs, ensuring compliance and proactive management of scheme requirements.
• Work hand-in-hand with the Risk team to identify and monitor high-risk merchants.
• Help shape the tools and workflows we use every day by challenging outdated processes and suggesting smarter, faster ways to work.
• Other ad hoc tasks can be assigned by the manager as needed.

Requirements:

• 2+ years of experience with BI tools such as Oracle BI, SAP, Qlik, Tableau, or SQL, or advanced Excel skills are a must.
• A degree in Banking & Finance, Statistics, Data Analytics, Economics, or similar, or hands-on experience in fraud/investigative roles within Payments or Banking.
• Card transactions, Acquiring background, highly advantageous.
• Big plus if you have direct experience supporting small-to-medium business (SMB) clients.
• Clear, confident communication in English (both spoken and written).
• Strong analytical mindset with great investigative instincts – you don’t stop until you get to the "why".
• Able to manage multiple priorities with focus and independence – you’re organized and driven. Able to work under minimal supervision / high degree of independence allocated, and have strong independent decision-making capabilities
• Energetic, innovative, and adaptable – you bring a spark to the team and enjoy being both fun and professional.
• You’re approachable, easy to collaborate with, but not afraid to push back when there’s a better way to do something.
• You thrive in an environment where ownership, creativity, and momentum are encouraged.
• Enjoying working in a fast-paced and multi-cultural environment.
• Innovative and flexible person full of energy. Easy to work with, but challenging, and always looking for improvement. A proactive mindset with a touch of “va va voom”—you know how to make things happen and bring positive energy to the team.
• Candidate must be located in Malta, the United Kingdom, or Lithuania.

Benefits of working for Shift4: 

Join Shift4 and enjoy a work environment that prioritizes flexibility and well-being. We embrace a hybrid working model, offering our team the flexibility to balance time between remote work and our modern, welcoming offices located in the heart of Valletta, Malta's historic capital.

Our standard remuneration package is comprehensive, including private health, dental, and life insurance, as well as parking allowance, preferential home rates, and a company pension plan (with APS). We are committed to supporting our employees' well-being through our Mental Health Program, family-friendly measures, an equipped canteen with free breakfast, and exciting company events.

The Wow

As a Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying advanced machine learning models that enhance our products and services. You will collaborate with cross-functional teams to solve complex problems and drive the adoption of machine learning solutions across the organization.

A taster of what you will be involved with: 

• Design, implement, and optimize machine learning models to solve complex business problems.
• Oversee the entire machine learning lifecycle, from data collection and pre-processing to model deployment and monitoring.
• Work closely with data scientists, software engineers, and product managers to integrate machine learning models into production systems.
• Stay up-to-date with the latest advancements in machine learning and apply them to improve model performance and functionality.
• Write and maintain high-quality, production-ready code for machine learning models and services.
• Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement.

What we are looking for:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 3-5 years of experience as a Machine Learning Engineer, with a strong track record of deploying models in production environments.
• Proficiency in Python, MLFlow and Spark would be considered an asset.
• Experience with cloud platforms (AWS, GCP, Azure). Experience with AWS Sagemaker would be preferred.
• Strong problem-solving skills and the ability to analyse complex data sets to derive actionable insights.
• Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.

What we offer

• Fitness-wellness allowance  🧗‍♂️
• Company mobile phone for private use with 100 GB  📱
• Annual HUF devaluation compensation  💡
• Hybrid model: 3 days in the office 🏢  & 2 days from home  🏠
• Private Health Insurance  🩺
• Career development  📈
• Technical and soft-skill training opportunities 🎓
• Breakfast, fruits & lunch 🍎
• Team building events  🥳

Challenge accepted?

If you are interested to learn more, please apply with your CV in English.

By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

The Wow

As a Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying advanced machine learning models that enhance our products and services. You will collaborate with cross-functional teams to solve complex problems and drive the adoption of machine learning solutions across the organization.

A taster of what you will be involved with: 

• Design, implement, and optimize machine learning models to solve complex business problems.
• Oversee the entire machine learning lifecycle, from data collection and pre-processing to model deployment and monitoring.
• Work closely with data scientists, software engineers, and product managers to integrate machine learning models into production systems.
• Stay up-to-date with the latest advancements in machine learning and apply them to improve model performance and functionality.
• Write and maintain high-quality, production-ready code for machine learning models and services.
• Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement.

What we are looking for:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 3-5 years of experience as a Machine Learning Engineer, with a strong track record of deploying models in production environments.
• Proficiency in Python, MLFlow and Spark would be considered an asset.
• Experience with cloud platforms (AWS, GCP, Azure). Experience with AWS Sagemaker would be preferred.
• Strong problem-solving skills and the ability to analyse complex data sets to derive actionable insights.
• Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.

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?

By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

The Wow

This role will design and implement the automation of our data platform. The focus will be on enabling and optimizing the data lifecycle by applying DevOps practices, such as Infrastructure as Code (IaC), CI/CD, and GitOps, to ensure the efficiency, reliability, and speed of our data deliveries.

A taster of what you will be involved with: 

• Develop and maintain the data platform's infrastructure using Terraform.
• Implement and manage CI/CD pipelines for the automation of data and ai processes and pipelines.
• Automate the provisioning, configuration, and monitoring of resources in AWS.
• Apply GitOpsprinciples to manage configurations and deployments.
• Ensure the security, scalability, and resilience of the infrastructure through automation.
• Collaborate with Data Engineers to optimize the data development lifecycle (DDLC).
• Own the automation and infrastructure of orchestration tools like Airflow.
• Document the automation architecture and deployment processes.
  
  

Must haves:

• Solid experience with Infrastructure as Code (IaC) tools, especially Terraform.
• Experience in creating and managing CI/CD pipelines (e.g., Github Action, AWS CodePipeline).
• Deep knowledge of version control tools and workflows with GIT.
• Experience in automation scripting with Python, AWS CLI, Spark.
• Knowledge of AWS services automation and management.|
  
  

Nice to haves:

• Familiarity with the AWS data ecosystem (S3, Glue, Lambda, Redshift, Snowflake).
• Familiarity with orchestrators like Airflow.
• Familiarity with data streaming technologies such as Kafka.
• Knowledge of monitoring and visualization tools (Prometheus, Grafana, CloudWatch).
• Basic knowledge of containerization (Docker, Kubernetes).
• Excellent verbal and written English communication skills.

What we are looking for

• University Degree in Computer Science, Engineering or equivalent
• At least 2 years of experience in DataOps, DevOps, or infrastructure automation
• Excellent verbal and writing English communication skills
• Good learning mindset
• Able to set priorities and multitask

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?

By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

The Wow

This role will contribute in designing and developing our platform to fulfil the business needs and to also improve our systems. Within this capacity you will have the chance to design new data pipelines, maintain platforms hosted on data streams for batch and real-time loading and real-time visualisations.

A taster of what you will be involved with: 

• Maintaining and evolving our existing data platform;
• Building processes to ingest data from Kafka, APIs and Databases using AWS MSK Connect.
• Development and Maintenance of real-time data processing applications using frameworks like Spark Structured Streaming and Kafka Streams.
• Applying transformations to data streams;
• Being involved in data modelling following standards e.g. Inmon, Kimball, Data Vault;
• Ensuring data quality by verifying data consistency and accuracy;
• Keeping up to date on research and development of new technologies and techniques to enhance our data platform;
• Have an investigative mindset to be able to troubleshoot – thinking outside the box when it comes to troubleshooting problems and incident management;
• Full ownership on projects and tasks assigned together with being able to work within a Team;
• Able to document well processes and perform knowledge sharing sessions

What we are looking for:

Must haves: 

• Experience with modern cloud database technologies such as Snowflake;
• Experience with orchestrating data pipelines using Airflow;
• Experience with AWS Glue;
• Experience with Apache Iceberg;
• Experience with SQL, and Data Integration Tools
• Experience with any programming language like Python or Scala;
• Knowledge on AWS Services like S3/Lambda/API Gateways/DMS/RDS;
• Development experience in both Microsoft, and Linux/Cloud environments;
• Have strong analytical and problem-solving skills

Nice to have:

• Familiar with Data Warehousing concepts and data modelling techniques such as Inmon, Kimball, Data Vault;
• Familiar with AWS Services such as MSK and EMR;
• Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with Time-series or Analytics Databases such as Elasticsearch;
• Familiar with data streaming using technologies such as Kafka;
• Familiar with software versioning tools like GIT;
• Familiar with infrastructure scripting like Terraform;
• Familiar with Data Monitoring and Visualisation tools such as Prometheus and Grafana, Cloudwatch;
• Scripting – Powershell, Unix Scripting;
• At least 2 years experience in Data Engineering;
• Excellent verbal and writing English communication skills;
• Good learning mindset;
• Able to set priorities and multitask

What we offer

• Fitness-wellness allowance  🧗‍♂️
• Company mobile phone for private use with 100 GB  📱
• Annual HUF devaluation compensation  💡
• Hybrid model: 3 days in the office 🏢  & 2 days from home  🏠
• Private Health Insurance  🩺
• Career development  📈
• Technical and soft-skill training opportunities 🎓
• Breakfast, fruits & lunch 🍎
• Team building events  🥳

Challenge accepted?

If you are interested to learn more, please apply with your CV in English.

By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

The Director of Data Engineering will lead and scale the Data Engineering and Analytics Engineering functions, owning the post-application data platform and its architecture, governance, and operating model. This foundational leadership role ensures best in class engineering standards, helps drive the organization toward a durable, auditable, data-product operating model, and modernizes and expands a Snowflake-centered data stack to include building and operating scalable distributed data processing and real-time streaming systems that support event-driven data products for operational use cases.

The role partners closely with Product, Software Engineering, Data Product Managers, Marketing, Compliance, Finance and Data Science to ensure our data ecosystem is production-grade, scalable, and compliant in a regulated gaming environment.

What You'll Do:

Team Leadership & Organizational Growth

• Lead and grow Data Engineering and Analytics Engineering teams; recruit, mentor, and elevate technical capabilities around distributed data processing, stream processing, and event-driven architectures
• Define ownership models for platform components and data products; set performance and hiring plans.
• Advance engineering standards for deployment: development, testing, documentation, release management, and SLAs.
• Partner with Data Product Managers to define data assets as versioned, documented data products with clear ownership and SLAs.

Platform, Architecture & Engineering Excellence

• Own the administration, reliability, governance, and strategic expansion of the Snowflake-based post-application data platform to operate scalable distributed data processing pipelines capable of handling high-volume event data across both batch and streaming workloads.
• Manage platform governance, access control, security, cost, and capacity planning.
• Standardize DBT deployment methods, promotion workflows, and environment management.
• Implement Infrastructure-as-Code (Terraform or similar) for reproducible, auditable infrastructure.
• Deliver monitoring, observability, lineage, and data quality frameworks; enforce traceability and auditability for regulated reporting.
• Own and evolve ingestion and warehouse architecture and transformation frameworks .
• Improve performance, cost efficiency, reliability, and scalability of data transformation and storage layers.
• Define and enforce engineering standards across the data lifecycle and establish SLAs and reliability metrics for critical assets - ensuring all pipelines, transformations, and reporting are auditable and documented for internal and external review

Event-Driven Architecture & Player 360

• Partner with Software Engineering on event messaging, streaming architecture, and ingestion patterns (built on technologies such as Kafka, Kinesis, Spark Structured Streaming, Flink, or equivalent platforms).
• Lead technical design and development of a unified Player 360 data foundation that integrates transactional, behavioral, and event-level data.
• Align application schema design with downstream analytical, product, and regulatory requirements.
• Balance real-time and batch processing strategies according to business needs and cost/complexity tradeoffs.

What You'll Bring:

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related STEM field preferred. Equivalent practical experience will be considered.
• 8+ years of experience in data engineering, with 3+ years of experience in leadership roles. 
• Experience transitioning an organization from private/startup to public company.
• Experience in regulated industries (gaming, fintech, payments, healthcare).
• Prior experience building Player 360 / Customer 360 platforms.
• Deep hands-on experience with Terraform / IaC and production-grade streaming systems (Kafka, Kinesis, etc.).
• Familiarity with GenAI governance frameworks and scalable AI integration patterns such as Harness Engineering.
• Able to travel occasionally both domestically and internationally. #LI-REMOTE #LI-PROMOTE

The Wow

This role will contribute in designing and developing our platform to fulfil the business needs and to also improve our systems. Within this capacity you will have the chance to design new data pipelines, maintain platforms hosted on data streams for batch and real-time loading and real-time visualisations.

A taster of what you will be involved with: 

• Maintaining and evolving our existing data platform;
• Building processes to ingest data from Kafka, APIs and Databases using AWS MSK Connect.
• Development and Maintenance of real-time data processing applications using frameworks like Spark Structured Streaming and Kafka Streams.
• Applying transformations to data streams;
• Being involved in data modelling following standards e.g. Inmon, Kimball, Data Vault;
• Ensuring data quality by verifying data consistency and accuracy;
• Keeping up to date on research and development of new technologies and techniques to enhance our data platform;
• Have an investigative mindset to be able to troubleshoot – thinking outside the box when it comes to troubleshooting problems and incident management;
• Full ownership on projects and tasks assigned together with being able to work within a Team;
• Able to document well processes and perform knowledge sharing sessions

What we are looking for:

Must haves: 

• Experience with modern cloud database technologies such as Snowflake;
• Experience with orchestrating data pipelines using Airflow;
• Experience with AWS Glue;
• Experience with Apache Iceberg;
• Experience with SQL, and Data Integration Tools
• Experience with any programming language like Python or Scala;
• Knowledge on AWS Services like S3/Lambda/API Gateways/DMS/RDS;
• Development experience in both Microsoft, and Linux/Cloud environments;
• Have strong analytical and problem-solving skills

Nice to have:

• Familiar with Data Warehousing concepts and data modelling techniques such as Inmon, Kimball, Data Vault;
• Familiar with AWS Services such as MSK and EMR;
• Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with Time-series or Analytics Databases such as Elasticsearch;
• Familiar with data streaming using technologies such as Kafka;
• Familiar with software versioning tools like GIT;
• Familiar with infrastructure scripting like Terraform;
• Familiar with Data Monitoring and Visualisation tools such as Prometheus and Grafana, Cloudwatch;
• Scripting – Powershell, Unix Scripting;
• At least 2 years experience in Data Engineering;
• Excellent verbal and writing English communication skills;
• Good learning mindset;
• Able to set priorities and multitask

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?

By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

In this exciting time of scaling our product and innovating the company with best-in-class business applications, we are looking for a Business Applications Engineer to join our growing team! In this role you will be responsible for coordinating and creating reports and integrations in relation to Super's business applications portfolio.

What you'll be doing:

• Develop, configure, and maintain integrations.
• Serve as a functional advisor for Finance reporting processes in D365 (GL, AP, AR, FA, Budgeting, Projects, etc.).
• Support Finance teams during month-end, year-end, and ongoing operational improvements within reporting and analytics.
• Participate in workshops, requirements gathering, solution design, and UAT.
• Identify opportunities to streamline Finance workflows using automation and best practices.
• Collaborate with Business Applications, IT, and Finance leaders on roadmap execution.
• Maintain documentation, integration diagrams, and operational handbooks.
• Design, build, and optimize Financial and Operational reports using: Power BI, Microsoft Fabric / Data Lakehouse, D365 FinOps data entities & reporting framework
• Work closely with Finance stakeholders to translate business needs into actionable reporting solutions.
• Establish and maintain data models, semantic layers, and reusable datasets.
• Develop, configure, and maintain integrations between D365 FINOPS, EPM tools, Fabric.
• Take ownership over development, deployment and change management (DevOps and Jira).

We're looking for someone with:

• Strong understanding of Finance processes (Accounting, FP&A, Controlling, Reporting).
• Experience working directly with Finance stakeholders and translating requirements.
• Experience in implementing ERP solutions (preferable Dynamics Navision, Business Central or Finance).
• Hands‑on experience with D365 Finance & Operations or other Dynamics ERP systems (AX 2009/2012, D365 BC).
• Experience creating integrations using: • D365 Data Entities, Azure Logic Apps / Azure Functions (preferred) OData, REST APIs
• Strong knowledge of Power BI, Microsoft Fabric, and data modeling.
• Large-scale data processing with PySpark
• Experience with Azure DevOps
• Ability to operate independently and lead small initiatives.
• Strong problem-solving and analytical capabilities.
• Excellent communication skills for cross-functional collaboration.
• Analytical and problem-solving oriented mind.
• Preferably a master's degree, minimum a bachelor's degree
• Fluent in English both verbal and written.
• Base in Zagreb, Bucharest, Madrid, or Malta