Senior Data Engineer IRC307995

GlobalLogic Latinoamérica; Greater London; Híbrido; GBP 95.000 - 140.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Private healthcare

Gym memberships

In-office yoga

Pension scheme

Volunteer day

Social events

Descripción de la vacante

GlobalLogic in London is seeking a Principal Data Engineer to own the customer decisioning pipeline architecture, end-to-end orchestration, and production readiness. You will lead real-world targeting and eligibility rules, ensure data quality, and oversee downstream activation.

You’ll design scalable data pipelines, enforce testing standards, manage CI/CD with Git and Azure DevOps, and collaborate with CRM and marketing platforms.

Formación

• Deep expertise in building large-scale data engineering solutions with SQL, Python, Spark, and Databricks.
• Experience designing resilient workflows with dependency management and idempotent processing.
• Familiarity with CI/CD practices, code reviews, and releases using Git and Azure DevOps.

Responsabilidades

• Design, build, and optimize scalable data pipelines that run on reliable scheduled and event-triggered workflows.
• Implement and review complex business logic for customer eligibility, contact policies, suppression rules, and cooldown periods.
• Oversee downstream activation datasets, file manifests, delivery status tracking, and secure SFTP platform integrations.
• Drive engineering standards by reviewing pull requests and enforcing rigorous unit, integration, and regression testing across environments.
• Lead production cutovers, automated alerting, disaster recovery, data reconciliation, and incident response.

Conocimientos

Python

SQL

Apache Spark

Databricks

Herramientas

Git

Azure DevOps

Descripción del empleo

Data Analytics/Warehousing & Business Intelligence

Experience

5-10 years

Location

United Kingdom - London

Skills

Python & SQL: Advanced Python (PySpark, Advanced SQL (CTEs, Databricks

We are looking for an experienced Principal Data Engineer to take technical ownership of our customer decisioning pipeline architecture, end-to-end orchestration, and production readiness.

In this role, you will lead the implementation of real-world targeting and eligibility rules, ensure bulletproof data quality, and oversee mission-critical downstream activation.

Requirements

• You have deep expertise in building large-scale data engineering solutions using SQL, Python, Apache Spark, and Databricks.
• You bring proven experience designing resilient workflows with strict dependency management and idempotent processing.
• You are comfortable establishing robust CI/CD practices, conducting code reviews, and managing releases using Git and Azure DevOps.
• You have a track record of supporting production systems with automated data quality checks, reconciliation routines, and incident diagnosis.
• You ideally bring familiarity with CRM decisioning engines, marketing consent frameworks, or platform integrations like Comarch and Salesforce Marketing Cloud.

Job responsibilities

• Design, build, and optimize scalable data pipelines that run on reliable scheduled and event-triggered workflows.
• Implement and review complex business logic for customer eligibility, contact policies, suppression rules, and cooldown periods.
• Oversee downstream activation datasets, file manifests, delivery status tracking, and secure SFTP platform integrations.
• Drive engineering standards by reviewing pull requests and enforcing rigorous unit, integration, and regression testing across environments.
• Lead production cutovers, automated alerting, disaster recovery, data reconciliation, and technical incident response.

#LI-LW1

What we offer

Our goal is to build an inclusive positive culture where everyone can feel comfortable being themselves, empowering people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences - providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region supports a hybrid model that can flex across a wide spectrum of working options determined by business, customer and individual needs.

You’ll benefit from a comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), discounted gym memberships, and in office yoga sessions and massages. We offer a fantastic benefits package including a competitive pension scheme and recognition schemes through bonus/reward initiatives. Colleagues are entitled to an annual volunteering day - so you can take time to support a cause close to your heart. We also love to stay social with trips to the zoo, quiz nights, sports events, theatre trips and much more.

We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation, and we actively welcome applications from people with a disability or long-term health condition. As users of the Disability Confident scheme, we guarantee to interview all disabled applicants who meet the minimum essential criteria for this vacancy.

We are committed to providing reasonable adjustments. If you require any adjustments for the application process, the interview, or the job itself, or if you need this information in an accessible format, please contact [e-mail] .

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.