Job Description

Senior Consultant-Delivery (GCP Data Engineer)

At Worldline, our technology addresses persistent challenges of the payment world. We design and operate leading digital payment and transactional solutions that enable sustainable economic growth and reinforce trust and security in our societies.

We have many hardworking and dedicated peers that would love for you to work with them. We are committed to continuous improvement. We are always looking for new and innovative ways to improve quality, reduce costs, build excellent solutions, and grow customer happiness. We would like to welcome an organized, innovative and process driven colleague to our team.

The Work Environment

You can be part of the future of the payments industry and contribute to the quality of billions of euros worth of payments by leveraging your DevOps expertise. By joining our team, you will have the opportunity to work on GCP-Futuro Team, Worldline’s core back-office application, which processed over 4 billion transactions last year. Your skills will help ensure that the GCP-Futuro which is a google cloud platform system operates smoothly and reliably, supporting our commitment to high-quality digital payment solutions. As part of our team, you will work in a dynamic and fast-paced environment where innovation, collaboration, and continuous improvement are highly valued. The work you do will directly impact the financial ecosystem, and you will have the chance to implement cutting-edge DevOps practices, automate processes, and contribute to both development and operational excellence.

Details

Experience : 10 to 15 Years

Location : Bangalore

What Will Your Job Look Like

As a GCP - Data Engineer with expertise in the Google Cloud Platform, you will be responsible for designing, building, and managing scalable data pipelines and solutions. Your work will enable seamless data flow and accessibility across our organization, empowering data-driven decision-making. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy.

Additionally, you will create and maintain internal documentation for team reference and engage with cross-functional squads to drive features to completion, participating in the Release Train within the Scaled Agile Framework (SAFe) for effective delivery. Daily discussions with colleagues will allow you to explore solutions and refine processes while promoting a positive working environment.

You will also contribute to various testing types, including system, regression, interface, and end-to-end testing.

Skills Can’t Do Without

We are seeking an experienced Senior GCP Data Engineer with 5+ years of hands-on design and development on Google Cloud Platform. The ideal candidate will act as a senior technical lead, guiding the team, collaborating with stakeholders, and delivering high-quality, scalable data solutions. Strong focus on data quality, governance, and performance optimization.

• Design, build, and maintain scalable data pipelines and architectures on Google Cloud Platform (BigQuery, Dataflow/Beam, Pub/Sub, Cloud Storage, Cloud Composer, Dataproc, and related services).
• Can manage cloud storage (Lifecycle, versioning, retention policies, metadata boundaries, access control on storage level)
• Expert in data modelling and analytics ready structure (portioning, structuring, denorm vs norm and trade off, materialized view, design datasets)
• Maintain data cataloging, lineage and data asset documentation
• Orchestrate pipelines (Airflow); monitor for failures and issue remediation
• Control access to data asset (least privilege)
• Proficiency in SQL and at least one programming language common in data engineering (Python, Java, Scala);
• Instrument pipelines with Cloud Monitoring and Cloud Logging; create dashboards for data freshness, latency, and failure rates
• Set up alerting on critical failures, data quality thresholds, and cost anomalies
• Implement unit and integration tests for data transformations (SQL tests in BigQuery, tests in Dataproc jobs, end-to-end pipeline tests)
• Validate data quality post-ingestion and post-transformation; establish acceptable data quality thresholds
• Document architecture, data models, DAGs, processing logic, and security configurations
• Experience with version control (Git), CI/CD for data pipelines

Skills We Do Like

• GCP Professional Data Engineer or other relevant cloud certifications.
• Experience with data governance frameworks and tools (e.g., Data Catalog, metadata management).
• Familiarity with BI/reporting platforms and data visualization integration.
• Experience in industries requiring strict compliance and governance (e.g., finance,

More Reasons To Join Us

In addition to joining a global leader in digital transformation, you can also expect an excellent range of benefits. These include: a rewarding salary, an attractive pension scheme plus many more. We also operate a flexible benefits scheme, allowing you to purchase discounted products and services.

What’s more, we really value Innovation, Cooperation, Excellence and Empowerment. These values are reflected on our daily work. This is the core of our organization. At Worldline our top priority is to engage, encourage and develop you to help you improve your potential. In fact, we have comprehensive training and development programs in place demonstrating our dedication to developing your career.

Our success comes from strong skills, new insights, diverse points of view and the energy of all women and men from Worldline. Not only do they represent the Heart and Face of our company, they are also key players in our success. We make leading our talents a major asset in the success of our business.

Worldline is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as an individual with a disability, or other applicable legally protected characteristics.