payabl.

Role Description The role is about: - Data Team, where you play a vital role in collecting, analyzing, and interpreting data to support decision-making across the organization. - Your tasks include data collection, ensuring quality, and developing databases. - You're skilled in SQL, Python for data manipulation and visualization tools. - Collaborative and communicative, you work with various teams to understand their needs and provide actionable insights. - Passionate about staying updated with new technologies, you drive innovation and contribute to a culture of continuous improvement. Location: remote Poland, Portugal or on-site Cyprus Reporting to: Head of Engineering What you will do: - Lakehouse Architecture and Data Platform Design - Design, build, and maintain scalable data lakehouse solutions on AWS using S3, Apache Iceberg, and AWS Glue Catalog as core platform components. - Contribute to the evolution of the medallion architecture, ensuring that bronze, silver, and gold layers are reliable, performant, and aligned with business needs. - CDC and Streaming Data Ingestion - Build and support real-time and near-real-time ingestion pipelines that stream operational data from on-premise databases into AWS using Debezium, Kafka, Kafka Connect, and Iceberg sinks. - Monitor and troubleshoot streaming pipelines, including connector issues, schema changes, data consistency, and ingestion reliability. - Data Modelling and Business-Ready Layers - Design and implement silver and gold layer datasets that transform raw operational data into trusted, business-ready data products. - Work closely with analysts, analytics engineers, and business stakeholders to understand requirements and create reusable, well-structured data models. - Batch and Distributed Processing - Develop and maintain batch and distributed processing jobs using PySpark on AWS EMR and AWS Glue. - Optimize data transformation jobs for performance, scalability, reliability, and cost efficiency. - Data Integration and Orchestration - Build and maintain data workflows using Apache Airflow for API ingestion, batch processing, and orchestration across the medallion architecture. - Support integrations from external and third-party systems using tools such as Airbyte. - Data Quality, Governance, and Reliability - Implement data quality checks, validation processes, and reconciliation logic to ensure trusted and consistent datasets across the platform. - Contribute to data governance practices around documentation, ownership, lineage, access, and compliance. - Infrastructure and DevOps Collaboration - Collaborate on AWS infrastructure and deployment practices, working with services such as S3, Glue, EMR, IAM, EKS, and related platform components. - Support infrastructure-as-code workflows using Terraform and Terragrunt in collaboration with engineering and infrastructure teams. Qualifications - Minimum 3+ years of experience in data engineering or related roles. - Strong experience with SQL and data modeling for analytics and reporting use cases. - Strong programming experience with Python, ideally including PySpark. - Experience designing and maintaining ETL/ELT pipelines in production environments. - Experience with real-time or near-real-time data ingestion. - Experience working with Kafka or similar streaming technologies. - Experience with CDC concepts and tools such as Debezium. - Experience with data lake or lakehouse architectures on cloud platforms. - Hands-on experience with AWS data services such as: S3, Glue Catalog, Glue Jobs, EMR, IAM, Related AWS services. - Experience with Apache Iceberg, Delta Lake, or similar open table formats. - Experience designing curated analytics layers, such as silver and gold layers in a medallion architecture. - Experience with orchestration tools such as Apache Airflow or Dagster. - Experience working with relational databases such as MySQL, MariaDB, or PostgreSQL. - Working knowledge of Unix/Linux environments and shell scripting. - Understanding of data quality, governance, lineage, and production monitoring concepts. Good to Have - Experience with Apache Druid, ClickHouse, Snowflake, Databricks, or other analytical databases and warehouse platforms. - Experience with Airbyte or similar data integration tools. - Experience with dbt or collaboration with analytics engineering teams. - Experience with Terraform and Terragrunt. - Experience with Docker and Kubernetes. - Experience optimizing Spark jobs on EMR or AWS Glue. - Experience with data visualization tools such as: Tableau, Power BI, Superset, AWS QuickSight. - Experience with data observability, alerting, and monitoring tools. Benefits - Future-Proof Your Finances: Once you’ve passed probation, we’ll kickstart your Provident Fund to secure your future. - Grow with Us: Annual Learning Budget for professional development (eligible after probation)—because your growth is our growth. - Wolt Your Way Through Lunch: €150 monthly Wolt allowance to keep you fueled and happy. - Stay Active Your Way: Enjoy a SportsBenefits membership giving you access to a wide variety of gyms and sports facilities to support your active lifestyle. - Drive in Style: After one year with us, you may be eligible for a company car—performance and availability permitting. - Park with Ease: Complimentary parking space just steps from the office, so your commute is as smooth as your workday. - Max Out Your Downtime: 25 days of vacation + public holidays, plus an additional 10 sick days. - Shop & Save: Exclusive local discount card + tickets for exciting events like Beonix, basketball games, and more. - Speak Like a Local: Join free Greek language classes, twice a week, open to all team members. - Celebrate Together: We bring colleagues from all offices together for unforgettable company celebrations. - Global Collaboration & Events: Opportunities to participate in international company events and initiatives, connecting with colleagues from all regions and contributing to a truly global community. Hiring Process - Step 1 – Thinking in Action (45 minutes): Your first conversation will be with our Talent Acquisition team. We'll explore your background, career journey, motivations, and overall fit for the role. As part of this discussion, you'll also complete a short technical screening that will be reviewed by our engineering team. - Step 2 – Build in Production (60–90 minutes): Meet with the Hiring manager and technical experts for a practical assessment. Depending on the role, this may involve a live coding exercise or a real-world scenario designed to evaluate your technical skills, problem-solving approach, and ability to work through challenges similar to those faced by our teams. - Step 3 – Final Interview (45 minutes): The final stage is a group interview with senior members of our Technology squad, which may include the CTO and Head of Engineering. Together, we'll discuss team fit, collaboration style, expectations from both sides, and any remaining questions about the role, team, or technology domain. Let's embark on a journey to redefine the landscape of payments together. We're not just offering a role; we're inviting you to be a part of something bigger. Join our team, and let's innovate, disrupt, and lead the future of payments. Together, we can make an impact that resonates. Welcome to the team! Please review our Privacy Policy to understand how we process your personal data during the recruitment process: https://payabl.com/privacy-policy

• Own and evolve the BaaS platform roadmap (3, 6, and 12-month horizons) with a focus on partner adoption, integration ease, and revenue growth • Define product direction aligned with the company North Star (30% growth in active BaaS partners) • Build and scale the BaaS API and partner ecosystem to support partner growth and transaction volumes • Design and own the partner onboarding experience — from API documentation to SDKs, sandbox environments, and integration support • Identify technical bottlenecks in partner integration flows and reduce friction (time-to-integrate, complexity, support burden) • Work closely with Engineering to understand multi-tenant architecture, scaling constraints, and integration capabilities • Translate partner feedback and market opportunities into structured product initiatives and roadmap priorities • Drive discovery, API documentation, and architectural alignment with partner success teams • Ensure sustainable, scalable solutions that generate revenue and improve partner lifetime value • Be accountable for partner satisfaction metrics, integration success rates, and BaaS channel revenue • Collaborate closely with Delivery Manager and Engineering Lead to ensure roadmap execution and SLA compliance • Align internal stakeholders (Sales, Compliance, Operations, Finance) on partner-facing capabilities and commercial models • Organize monthly partner reviews and internal product reviews to communicate direction, partner feedback, and decisions • Evaluate third-party integrations and partnerships when needed (payment processors, KYC/AML providers, etc.) • Own the expansion of API-first banking capabilities (accounts, cards, payments, compliance tools) for partner consumption • Support partner success through technical enablement, documentation, and community engagement

• Pipeline Re-architecture: Migrate and re-architect legacy Perl batch jobs and crontab pipelines into modern Python-based services. • Workflow Orchestration: Design and implement orchestration using Prefect or Airflow, including alerting, observability dashboards, and safe job re-run capabilities. • Modern Observability: Instrument services with structured logging and metrics (CloudWatch, or Grafana) to eliminate the need for direct production server access. • Data Layer Ownership: Manage the data layer for file ingestion: landing raw scheme files to S3, parsing/transforming them, and persisting to PostgreSQL or RDS for reconciliation. • Financial Domain Logic: Process and reconcile payment scheme files (clearing, settlement, chargebacks) from card schemes and acquirers. • Engineering Standards: Contribute to architecture decisions, write technical documentation, and establish best practices across the team.

• System Implementation: Support the re-architecture of legacy Perl batch jobs into modern, maintainable Python services. • Operational Reliability: Assist in implementing workflow orchestration (Prefect/Airflow) to ensure safe job re-runs and system stability. • Observability: Help instrument our services with logging and alerting (Grafana/CloudWatch) so we can monitor systems without direct production access. • Data Transformation: Work on data ingestion pipelines, moving raw data to S3 and transforming it into relational database records.

• System Implementation: Support the re-architecture of legacy Perl batch jobs into modern, maintainable Python services. • Operational Reliability: Assist in implementing workflow orchestration (Prefect/Airflow) to ensure safe job re-runs and system stability. • Observability: Help instrument our services with logging and alerting (Grafana/CloudWatch) so we can monitor systems without direct production access. • Data Transformation: Work on data ingestion pipelines, moving raw data to S3 and transforming it into relational database records. • Collaboration: Participate in agile sprints and maintain clear English communication with the team and stakeholders.

• Develop and maintain Python-based microservices in a distributed environment. • Design and build scalable backend services with a focus on performance and reliability. • Integrate third-party APIs and external services into existing systems. • Collaborate with product, engineering, and DevOps teams to deliver new features and improvements. • Work with AWS services (e.g. Lambda, cloud infrastructure) to build and deploy applications. • Support deployments and system operations through CI/CD pipelines (GitLab). • Contribute to code reviews and follow engineering best practices. • Troubleshoot and resolve issues in production environments. • Contribute to improving system performance and handling increasing system load.

• Design and implement scalable Python microservices in a distributed architecture. • Build and optimize high-performance backend systems, ensuring scalability and reliability under high load. • Integrate and manage third-party APIs and external services. • Collaborate with cross-functional teams to define technical solutions and system design approaches. • Work with AWS services (e.g. Lambda, cloud infrastructure) to architect and deploy solutions. • Improve and maintain CI/CD pipelines and deployment processes in collaboration with DevOps. • Lead and contribute to code reviews, ensuring high engineering standards. • Identify system bottlenecks and drive performance and scalability improvements. • Troubleshoot complex production issues in distributed systems. • Contribute to technical discussions and guide best practices within the team.

• Legacy Modernisation: Read legacy code (PHP, Perl, or JavaScript), extract the business logic, and reimplement it correctly within a modern microservices architecture. • Reliability First: Ensure idempotency, data integrity, and graceful error handling across all services — "almost working" is never good enough. • Greenfield & Refactoring: Split your time between building new features from scratch and refactoring existing legacy modules into clean, maintainable code. • API Engineering: Design and consume external APIs with a deep understanding of webhooks, callbacks, and complex retry policies. • Agile Collaboration: Maintain clean and strong English communication to effectively collaborate with multiple stakeholders across departments working in agile sprints. • Product Thinking: Go beyond the "what" and "how" of the code — bring a product-focused mindset to understand the business logic and end-user impact of what you build. • Infrastructure Contribution: Contribute to CI/CD pipelines, Docker, or Kubernetes infrastructure where relevant. If you have a passion for infra, you are more than welcome to bring it. • Innovation: Propose and advocate for tools or technologies that can demonstrably improve our performance, security, or development speed.

• Migrate and re-architect legacy Perl batch jobs and crontab pipelines into modern Python-based services. • Design and implement orchestration using Prefect or Airflow, including alerting, observability dashboards, and safe job re-run capabilities. • Instrument services with structured logging and metrics (CloudWatch, or Grafana) to eliminate the need for direct production server access. • Manage the data layer for file ingestion: landing raw scheme files to S3, parsing/transforming them, and persisting to PostgreSQL or RDS for reconciliation. • Process and reconcile payment scheme files (clearing, settlement, chargebacks) from card schemes and acquirers. • Contribute to architecture decisions, write technical documentation, and establish best practices across the team.

• Support and extend the existing Perl-based payment gateway debugging production issues and adding features while migration is ongoing • Design, develop, and maintain modern server-side components in Python, ensuring high performance and scalability • Integrate third-party APIs and external payment services into both legacy and modern platform layers • Collaborate with multiple stakeholders across departments working in agile sprints • Maintain high code quality standards and contribute to a culture of continuous improvement • Work closely with DevOps on CI/CD pipelines, containerization, and cloud deployments