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• Help shape the tools and workflows we use every day by challenging outdated processes and suggesting smarter, faster ways to work.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 Analytics Engineering Technical Lead will define and own the modeling architecture, standards, and technical direction within RSI’s cloud-native Data Platform. This role is accountable for ensuring that analytics-ready data is reliable, scalable, and aligned to long-term business needs across growth, operations, and risk.

You will lead the design and governance of core data models in Snowflake and dbt, establishing best practices that enable high-quality, self-service analytics without sacrificing trust or performance. As a hands-on technical leader, you will set standards for modeling, testing, documentation, and deployment while mentoring other Analytics Engineers and raising the overall technical bar of the team.

This role partners closely with Data Engineering, Analytics, and business stakeholders to translate evolving requirements into durable data products. You will help balance speed and governance, prioritize platform investments, and ensure our data foundation scales with the business.

Our modern data stack includes Snowflake, AWS, Python, Airflow, and dbt.

What You'll Do:

• Lead the design, development, and lifecycle management of curated datasets, dbt models, and analytics data marts aligned to business domains and metrics.
• Establish and evolve standards and best practices for dbt modeling, testing, documentation, and code organization to support long-term scalability.
• Ensure analytical datasets are accurate, reliable, and trusted, serving as a single source of truth for business, product, and stakeholders.
• Embed data quality checks, documentation, and governance directly into analytics pipelines.
• Partner closely with Product, Data Engineering and Analytics teams to translate business requirements into well-modeled, performant data products.
• Mentor and support Analytics Engineers through technical guidance, design reviews, and knowledge sharing.
• Continuously improve and modernize analytics workflows by introducing automation, tooling enhancements, and AI-assisted development where appropriate.
• This role includes technical leadership and mentoring responsibilities for the team, including other Analytics Engineers.

What You'll Bring:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related quantitative discipline.
• Technical Leadership: Proven experience defining technical direction, standards, and architectural decisions within analytics engineering or curation teams.
• Data Modeling Expertise: Deep understanding of dbt, data marts, dimensional modeling, and self-service BI enablement.
• Data Engineering Background: 7+ years of experience in data warehousing or development; 5+ years of experience in hands-on data engineering using SQL and Python.
• Cloud Infrastructure: Proficiency with cloud platforms (AWS, GCP, or Azure), including containerization (Docker/Kubernetes).
• Tooling & Orchestration: Experience with tools like dbt, Airflow, S3, REST APIs, and large-scale DWHs (Snowflake, Redshift, BigQuery, etc.).
• Change Management: Skilled at leading cross-functional data initiatives and driving adoption of new tools and standards.
• People Leadership: Experience mentoring and guiding distributed teams across time zones.
• Communication: Strong written and verbal English skills with the ability to collaborate across technical and business functions.
• Able to travel occasionally both domestically and internationally #LI-HYBRID

❗️IMPORTANT: This position is office based for our office in Birkirkara, Malta.

❗️We can provide relocation assistance if you're outside of the city or country.

The Senior Data Operations Engineer will support the management and optimisation of the company’s data systems and processes, reporting directly to the Data Operations Lead.

This role requires a technically proficient individual with strong analytical skills to ensure data integrity, accessibility, and security across the data platform. The ideal candidate will have hands-on experience in data management, a keen eye for detail, and the ability to work collaboratively with different stakeholders.

✅ Responsibilities:

Data Management and Maintenance

• Assist in developing and enforcing policies for effective data management.
• Ensure data accuracy, consistency, and security through regular maintenance and monitoring.
• Support the implementation of data quality standards and maintain data governance practices.

Operations Support

• Manage and optimise data pipelines and ETL processes to ensure smooth and efficient workflows.
• Troubleshoot and resolve data-related issues promptly to minimise downtime.
• Monitor the availability and performance of data systems and tools, ensuring they meet operational standards.

Collaboration and Communication

• Work closely with the Data Operations Lead, Data Engineering, Business Intelligence, Analytics, and Business teams to support data initiatives.
• Collaborate with vendors and partners for data-related services as directed by the Data Operations Lead.
• Communicate effectively with team members and stakeholders to ensure alignment on data projects and initiatives.

Compliance and Security

• Assist in ensuring compliance with various jurisdictions and regulations, as well as industry best practices.
• Implement and maintain data security measures to protect sensitive information.
• Participate in regular audits and assessments to identify and mitigate risks.

Day-to-Day Activities

• Check the status of data jobs to ensure they are running as expected and troubleshoot any issues.
• Monitor and maintain data pipelines, ensuring data flows smoothly between systems.
• Conduct data verification and integrity checks to maintain high data quality and accuracy.
• Perform reconciliations across various data sources to identify and resolve discrepancies.
• Proactively perform data audits to ensure data accuracy and compliance.
• Suggest and build improvements in data accuracy and reconciliation frameworks.
• Work collaboratively with the data team to address any operational challenges and support data-driven initiatives.

On-Call Rotations

• On-Call Rotations - During specific weeks, you need to be available 24/7 in case of incidents.

✅ Requirements:

• At least 3 years of Python engineering experience;
• At least 2 years of experience with SQL;
• 1+ years of experience in data management and data operations roles.
• Proficiency in SQL, Python, or other data manipulation languages.
• Experience with cloud data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
• Familiarity with ETL tools (e.g., Apache NiFi or Airflow).
• Knowledge of cloud platforms (AWS, Azure, Google Cloud).
• Strong problem-solving skills and attention to detail.
• At least 1 year of experience in PowerBI (or similar);
• Excellent communication and teamwork skills.

Nice to have:

• Experience with data quality management.
• Experience working with agile.
• Understanding of data governance frameworks and practices.
• Certifications in relevant data management or cloud platform technologies.

✅ We offer excellent benefits, including but not limited to:

✔️24 days of vacation per year;

✔️Private Health Insurance;

✔️Daily Breakfasts and Friday lunches in the office;

✔️Snacks in the Office;

✔️Transport Allowance of up to 150 euro paid quarterly (public transport or taxi);

✔️Gym Subsidies for office building gym;

✔️Tennis or Paddle Training sessions reimbursement, up to 100 EUR monthly;

✔️Discount for Premium subscription for Cloudigo;

✔️Discounts at partners of the company;

✔️Annual salary reviews;

✔️Birthday gifts;

✔️Option for parking;

✔️Regular office & team building events.

RightShip is scaling its use of AI from traditional ML models to advanced LLM-based reasoning systems, to support safer and more sustainable maritime operations. We are looking for a Data Scientist who can bridge both worlds: classical data science and modern AI/LLM governance.

This role is responsible for defining how models should be evaluated, monitored and governed across their lifecycle. You will work closely with domain experts, the existing AI team, data engineering and product teams to ensure our AI systems behave consistently, accurately and responsibly.

This is not an LLM-engineering or roadmap ownership role. It is a senior position focused on methodological leadership, model quality, and governance across AI and ML systems.

Major Responsibilities 

• Establish Best Practices for AI/LLM & Traditional ML Experimentation:
• Develop experimental methodologies for both classical ML and LLM-based systems.
• Standardise how experiments are structured, documented and compared across teams.
• Create reproducible workflows for testing prompts, model versions, embeddings and classical feature models.
• Ensure statistical soundness and methodological rigour in all experiments.
• You define “what goods like” in experimentation.
• Own the Evaluation Framework for Model Behaviour:
  • Build and maintain evaluation datasets, test suites and metrics for:
    • reasoning accuracy (LLMs)
    • classification performance (traditional models)
    • consistency and drift
    • hallucination checks
    • edge-case handling
    • domain-alignment
• Continuously refine the evaluation approach as the AI team iterates on models.
• Translate Domain Logic into Structured Model-Ready Logic
  • Work with maritime SMEs to understand inspection logic, safety reasoning and operational decisoin pathways.
  • Convert that knowledge into:
    • Classification schemas
    • Decision flows
    • Label definitions
    • Reasoning templates
    • Structured input/output rules for LLMs and ML models
• Ensure model behavior is grounded in real-work operational judgement.
• Support AI Team Experimentation . You will :
  • Provide guidelines, quality criteria and methodology for the AI team’s test design.
  • Review final experiments and highlight gaps, inconsistencies or risks.
  • Ensure that experimentation aligns with the governance, evaluation and lifecycle frameworks you maintain.
  • Maintain the benchmark suite the AI team must compare against.
• Conduct Traditional Data Science & ML Work
  • You will also contribute hands-on to classical data science tasks such as:
  • Analysis of structured datasets.
  • Feature engineering and exploratory data analysis.
  • Building classification or scoring models as needed (supervised ML).
  • Supporting domain teams with insights, prototypes or predictive modelling.
  • Working with data engineers to refine the data required for ML.
• Model Monitoring & Lifecycle Governance
  • Build processes for ongoing monitoring of AI behaviour and model drift.
  • Investigate anomalies or unexpected outputs.
  • Identify failures rooted in data, logic, edge cases or prompt structure.
  • Recommend corrective actions (model retraining, logic updates, new test suites, prompt refinement).
  • Maintain transparent documentation, audit trails and governance standards aligned with RightShip’s risk posture.

Qualifications, Skills & Experience  

• Bachelor’s or Masters (preferred) degree in Data Science, or relevant field.
• 7+ years in Data Science, Applied ML or AI-focused role
• Postgraduate studies or AI governance training is advantageous.
• Curious, a critical thinker and a strong sense of logic
• Superior mathematical ability
• Strong experience building and evaluating classification and supervised ML models.
• Excellent communication and presentation skills
• Excellent at establishing standards others can follow confidently.
• Proficiency in Python, SQL and model evaluation frameworks.
• Familiarity with MLflow (or equivalent), Vector DBs or LLM orchestration tools is a plus.
• Ability to influence through expertise rather than authority.

RightShip is looking for an exception Senior Software Engineer to join our team.  He/she will help the organization continue to build world class data driven products to solve some of the most challenging problems in the maritime industry by maintaining and improving quality across critical data sets. 

This role requires an individual who is passionate about web applications and cloud computing. It is a great opportunity for an ambitious individual to join an environment where you can make the differences in day-to-day tasks and where your initiative will be appreciated. 

Major Responsibilities   

• Write clean and efficient code both on the server side and client side.  
• Participate in requirements analysis 
• Take responsibility for making key decisions to ensure the successful implementation of all initiatives 
• Coach, mentor, and further develop your peers through continuous feedback. 
• Collaborating with co-workers to facilitate the creation of large, complex developments, as required. 
• Revise, update, refactor and debug code 
• Checking your code to detect and remedy errors and omissions. 
• Monitor everyday activities of system and provide require support. 
• Testing your outputs to ensure that they are in excellent working order. 
• Remaining abreast of coding and technological changes that will impact your work. 
• Research and keep up to date with latest best practices 
• Work closely with QA / Tech Design / Data Engineers and Architects to deliver solutions that can scale  

Qualifications, Skills & Experience  

• Masters or Bachelor’s degree in Computer Science, or equivalent disciplines. 
• Proven experience as a Software Engineer for 8+ years. 
• Experience applying and inspiring engineering discipline within the team to avoid over-engineering without impacting product quality.  
• Advanced proficiency in C#, SQL and Typescript. 
• Experience using frameworks such as Angular / Aurelia / React.  
• Experience in the Azure Stack. 
• Experience using Microsoft SQL Server. 
• Preferably experience using No-SQL Databases 
• Experienced with concurrency and asynchronous programming 
• In-depth knowledge with Micro Services Architecture. 
• Adept at working with cross functional groups across multiple geographies.  
• Ability to deliver results with minimal supervision. 
• Outstanding analytical, problem-solving, and communication skills. 
• Passion for technology and knowledge. 

❗️IMPORTANT: This position is office based for our office in Birkirkara, Malta.

❗️We can provide relocation assistance if you're outside of the city or country.

We are seeking a skilled and detail-oriented Senior BI Developer to join our team. The BI Developer will be responsible for designing, developing, and maintaining business intelligence solutions.

✅ Responsibilities:

• Requirements: Collaborate with other Data teams to understand business requirements and translate them into technical specifications;
• Development: Design and develop reports, dashboards, and visualizations using BI tools (Power BI);
• Modelling: Develop and maintain complex data models, catering for generic BI reporting requirements;
• Data Security: Implement row or user based security models;
• Data Validation: Ensure the accuracy and consistency of data through regular validation checks and audits;
• Ad-Hoc Reporting: Create ad-hoc reports based on specific business needs;
• Technical Support: Provide ongoing support and troubleshooting for BI tools and reports, ensuring minimal downtime and quick resolution of issues;
• System Performance: Monitor the performance of BI systems and reports, ensuring they meet the required standards and performance metrics;
• Documentation: Maintain comprehensive documentation of BI solutions, including technical specifications, data models, dashboards.

✅ Requirements:

• 3+ years experience as a BI Developer or similar role;
• Experience with SQL is a must;
• Experience with PowerBI is a must;
• Strong analytical and problem-solving skills;
• Excellent communication and interpersonal skills;
• Ability to work independently and as part of a team;
• Experience with data warehousing solutions like Snowflake, Redshift, or similar.

❗️Please note that this role is office based for Valencia, Spain (RAS Valencia - Servicios Profesionales de Recursos Humanos).

❗️We can provide relocation assistance if you're outside of the city or country.

We’re looking for a highly skilled Data Architect with experience in data warehousing to design and optimize our data platform. You’ll play a critical role in shaping our data ecosystem—defining architecture, ensuring scalability, and enabling advanced analytics and reporting across the organization.

Key Responsibilities

• Design and implement scalable, secure, and high-performance data architectures on AWS using Snowflake as the central data warehouse;
• Design and optimize ELT/ETL pipelines using tools such as Airflow and Snowflake Streams and Procedures;
• Lead the design of data models (Star/Snowflake schema) and data marts for analytics and operational reporting;
• Work with data engineers, BI, and other technical teams and business stakeholders to understand requirements and translate them into technical data solutions;
• Establish data governance, cataloging, and lineage practices;
• Ensure compliance with data security, privacy, and regulatory standards;
• Drive performance tuning, cost optimization, and best practices in Snowflake and across the data stack;
• Document architectural decisions and technical designs for team collaboration and future scalability.

Requirements

• 4+ years of experience in data engineering or architecture roles;
• Strong experience with AWS cloud services such as S3, Redshift, Glue, Lambda, IAM, and CloudFormation/Terraform;
• Proficiency in SQL, Python, and modern data pipeline frameworks (e.g., dbt, Airflow);
• Solid understanding of data modeling, data warehousing principles, and dimensional design;
• Experience with CI/CD practices and infrastructure as code in a data environment;
• Excellent communication and documentation skills.

Nice to Have

• Hands-on experience with Snowflake (warehousing, performance tuning, data sharing);
• Experience integrating with BI tools like Power BI or Tableau;
• Knowledge of data lake architecture and streaming technologies (Kafka, Kinesis);
• Certifications in Snowflake or AWS (e.g., SnowPro Core, AWS Data Analytics Specialty).

✅ Why you should join us?

The Data Analyst will help the organisation continue to build world class data driven products to solve some of the most challenging problems in the maritime industry by maintaining and improving quality across critical data sets.  

This role will be responsible for providing analytical insights into our data to support RightShip’s strategy and mission. The Data Analyst is a proven self-starter who is able to communicate complex data analysis in a clear, precise, and actionable manner and deliver quality and best-practice reporting solutions for internal and external stakeholders.  

Major Responsibilities 

• Perform data exploration and analysis using SQL, Databricks, and Genie to uncover trends, patterns, and anomalies.  
• Design and develop Power BI dashboards and reports, including semantic models, DAX measures, and visual storytelling.  
• Build and maintain Databricks AI/BI dashboards and Databricks Genie Spaces to enable conversational, selfservice analytics.  
• Translate business needs into analytical requirements, partnering with stakeholders to shape metrics, models, and insights.  
• Define and maintain logical data models and metric definitions, ensuring consistency, clarity, and alignment with governance.  
• Generate actionable insights through data storytelling, narrative summaries, and AIassisted explanations.  
• Conduct data quality checks and ensure governed usage across sources, models, dashboards, and Genie outputs.  
• Support experimentation and light data science work, including statistical analysis, hypothesis testing, and MLready dataset preparation.  
• Enable and train business users to leverage Power BI, Databricks, and Genie for selfservice analytics.  
• Continuously improve analytics processes, evaluating new GenAI and BI capabilities to automate, accelerate, and enhance insights. 
• Partner with key stakeholders across the business to understand data and reporting needs and to define requirements 
• Collaborate with different teams within the business, to provide timely and successful issue resolution  

Qualifications, Skills & Attributes 

• Demonstrable experience with Power BI, including advanced data modelling, semantic layer design, and enterprisegrade report development.  
• Strong handson DAX capabilities, able to write complex calculations that support KPI logic, advanced time intelligence, and governed metric definitions.  
• Excellent SQL skills (TSQL or similar) with proven experience transforming, profiling, and extracting insights from large and complex datasets.  
• Solid data modelling expertise using dimensional and industrystandard approaches (Kimball, Inmon), and the ability to design models optimised for analytics and AIassisted querying.  
• Deep knowledge of data visualisation best practices, with the ability to craft insightdriven dashboards and compelling data stories across Power BI and AIenhanced tools.  
• Experience working within a modern SDLC, including source control, environment management, and CI/CD practices for BI or analytics artefacts.  
• Strong analytical and problemsolving mindset, comfortable managing multiple competing priorities while maintaining clarity, accuracy, and rigor.  
• Exceptional attention to detail, ensuring highquality analytical outputs, validated metrics, and accurate insights for decisionmaking.  
• Highquality communication skills, able to translate complex data concepts into simple, actionable insights for business stakeholders across functions.  
• Ability to work efficiently in a fastpaced, distributed team, adapting quickly to new information, tools, and evolving priorities (including Databricks and Genie).  
• Bonus: Working knowledge of Databricks, AI/BI Genie, or conversational analytics tools is highly advantageous for enabling selfservice insights and GenAIpowered analysis.