The Senior Data Operations Engineer will support the management and optimization 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:

🚀 Career growth opportunities in an international and dynamic environment;
📚 Opportunity to develop language skills with partial compensation for language courses;
🎁 Special gifts for birthdays, weddings, and newborns;
🏝️ 20 working days of paid annual vacation, plus paid sick leaves;
🍲 Office snacks and refreshments;
🏋️‍♂️ Sports package to support a healthy lifestyle;
🩺 Comprehensive medical insurance for you and your partner;
📍 Comfortable office with great facilities in a prime location;
 🎉 Exciting corporate events, team-building activities, and international company parties.

❗️IMPORTANT: This position is office based for our office in Warsaw, Poland.

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

We are seeking a highly skilled Data Engineer with expertise in managing, designing, and optimizing data pipelines utilizing Apache Airflow, Snowflake, and Apache Kafka.
This individual will play a pivotal role in architecting robust, scalable, and efficient data solutions, ensuring the integrity, reliability, and accessibility of our data infrastructure

✅ Responsibilities:

• Develop and implement data models to support business requirements, optimizing for performance and scalability;
• Design, build, and maintain scalable data pipelines using Apache Airflow;
• Implement and maintain Kafka-based streaming data pipelines for real-time data processing and integration with various systems;
• Integration to third party databases and APIs;
• Establish monitoring, alerting, and maintenance procedures to ensure the health and reliability of data pipelines;
• Collaborate with cross-functional teams including data scientists, analysts, and stakeholders to understand data requirements.
  
  

✅ Requirements:

• Proficiency in Python, SQL, and experience with data manipulation and transformation;
• Data warehouse and data modeling techniques;
• Experience in designing, building, and maintaining complex data pipelines using Airflow;
• Proven track record in data engineering roles, with a focus on designing and implementing scalable data solutions using Snowflake or Redshift;
• In-depth understanding and practical experience in implementing Kafka-based streaming architectures for real-time data processing.
  
  

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

✔️Career growth opportunities in an international and dynamic environment;

✔️Opportunity to develop language skills with partial compensation for language courses;

✔️Special gifts for birthdays, weddings, and newborns;

✔️20 working days of paid annual vacation, plus paid sick leaves;

✔️Office snacks and refreshments;

✔️Sports package to support a healthy lifestyle;

✔️Comprehensive medical insurance for you and your partner;

✔️Comfortable office with great facilities in a prime location;

✔️Exciting corporate events, team-building activities, and international company parties.

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

❗️If you need to be relocated, we take care of the process.

We are developing an innovative platform for intelligent gameplay analysis and complex in-game scenario automation. Our team builds internal tooling that bridges the gap between Computer Vision, text analysis, and modern LLM architectures to achieve deep, real-time understanding of game mechanics.

Key Responsibilities:

• Core Development: Designing and maintaining an in-house AI-powered service for intelligent automation.
• Computer Vision: Training and calibrating Object Detection and Classification models (CNNs, DETR) on unique proprietary datasets.
• Intelligent Analysis: Integrating OCR solutions and LLMs to interpret data and structure information from dynamic content.
• MLOps: Building pipelines for model retraining based on "low-confidence" predictions (Active Learning).
• Infrastructure: Containerizing solutions and ensuring their scalability and performance.

Our Tech Stack & Requirements:

• Experience: 4+ years in software development (Backend / Full Stack / SDET).
• AI/ML Background: Proven hands-on experience with Detection Transformers (DETR) or modern CNN architectures.
• LLM & Agents: Understanding of AI Agent principles; experience building tools and integrations with LLMs (LangChain, Indexing, Tool-use).
• Python: Strong proficiency in Python and experience in AI tool development.
• Engineering Excellence: Deep understanding of TDD, clean architecture principles, and database management (PostgreSQL/MySQL).
• Networking: Experience designing APIs (REST, GraphQL, WebSockets).
• English: Upper-Intermediate (technical documentation, professional communication).

Nice to Have:

• Experience with Kubernetes and Docker.
• Understanding of microservices architecture.
• Experience setting up CI/CD pipelines (GitLab CI, GitHub Actions).

We are looking for a Platform Data Engineer to join our Spanish hub in Belgrade and work on real-time analytics and streaming solutions. You’ll design scalable data architectures, optimize pipelines, and drive best practices across teams.

✅ Responsibilities:

• Advise business streams on data platform architecture: when and how to use ClickHouse, explain data flow architecture;
• Review code and solutions from business teams, ensure best practices and scalability;
• Design and build platform data architecture: tables, materialized views, and views in ClickHouse;
• Configure and maintain Debezium and MSK Kafka connectors;
• Build and optimize data pipelines and database performance;
• Lead and drive initiatives to improve data platform standards and adoption.

✅ Requirements:

• 5+ years of hands-on experience working with data;
• Strong expertise in ClickHouse (schema design, queries, performance optimization);
• Good knowledge of relational databases (e.g., MySQL), ability to analyze and reverse-engineer schemas and code;
• Experience with streaming tools (Kafka, Debezium, connectors);
• Ability to review code and guide teams in architectural decisions;
• Strong problem-solving and communication skills;
• Experience driving initiatives across teams.

✅ Why you should join us?

We offer Excellent benefits, including but not limited to:
🧑🏻‍💻 Learning and development opportunities and interesting challenging tasks; 
✈️ Relocation package (tickets, staying in a hotel for 2 weeks); 
📚 Opportunity to develop language skills, with partial compensation for the cost of Spanish classes (for localisation purposes). 
🏥 Global coverage health insurance. 
🏝 Time for proper rest, with 23 working days of annual vacation and an additional 6 paid sick days. 
📈 Competitive remuneration level with annual review. 
🤝 Teambuilding activities

❗️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.

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

❗️If you need to be relocated, we take care of the process.

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.

❗️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?