Senior Data Engineer

Posted 16 Days Ago
Be an Early Applicant
Lisbon
3-5 Years Experience
Marketing Tech • Analytics
The Role
Seeking two experienced Senior Data Engineers to join our dynamic development team responsible for crafting large datasets for global clients. Requires expertise in Python, PySpark, Databricks, Apache Spark, Cloud Services, ETL, DevOps, and Agile Methodologies. Must have 4-5 years of experience in Data Engineering roles.
Summary Generated by Built In

We’re the world’s leading data, insights, and consulting company; we shape the brands of tomorrow by better understanding people everywhere.

Worldpanel provides brands and retailers with a unique, 360-degree understanding of consumer behaviour across the globe. We are shopper-centric, continuously monitoring the purchase and usage behaviour through the largest omnipanel in the world. With unparalleled datasets, pioneering technology and expert analysts, we partner with brands and retailers of all sizes, empowering them to reimagine what’s possible, and change the landscape to create a better, healthier, more sustainable and inclusive world.

Job Details

We are seeking two experienced Senior Data Engineers to join our dynamic development team. You will be part of a team responsible for crafting large datasets for our global clients.

This platform brings to bear brand-new technologies, primarily using Databricks and its latest functionalities like Delta Lake, Unity Catalog, and Terraform. You'll also play an active role in implementing the platform and have a significant impact on its strategic direction.

Seeking individuals with a drive to think innovatively and make a real impact. Join our team and embark on a career that is anything but ordinary.

Key outcomes

  • Be responsible for the delivery of tested, high-quality code.
  • Adhere to coding standards and implementation of Kantar Technology standards.
  • Build suitable automation test suites within Azure DevOps, as well as maintain and update them as often as required.
  • Carry out manual testing, load testing and exploratory testing whenever needed.
  • Work closely with BAS and Senior Data Engineers to consistently achieve sprint goals.
  • Assist in the estimation of sprint-by-sprint stories and tasks.
  • Proactively take a responsible approach to product delivery.

Key Capabilities

Your background will ideally look like this…

  • University Degree or equivalent experience in Computer Science, Software Engineering, or related field.
  • Business proficiency in English (B2 Level Minimum Required).
  • Demonstrable experience in Data Engineering roles for 4-5 years.
  • Proven programming experience with Python as well as with PySpark, Databricks, and Apache Spark.
  • Professional experience with a Cloud Services platform (Azure/AWS/GCP) and infrastructure – preferably MS Azure.
  • Comfortable working with ETL data pipelines with large volumes of continuous data.
  • Experience working with a DevOps or equivalent experience in a pipeline – preferably Azure DevOps.
  • Experience working within Agile Methodologies (SCRUM/KANBAN Frameworks).

With the following qualities…

  • Inquisitive, with critical thinking, and demonstrates a genuine passion for consumer behaviour.
  • Enjoys actively looking for new and more efficient ways of improving processes, raising standards, reducing errors, and overcoming omissions.
  • Is proactive, optimistic, and willing to get involved to achieve the team's goals and objectives.
  • Is highly collaborative and adaptable with the ability to work optimally within different cultural and technical environments.
  • Possesses outstanding communication and interpersonal skills in order to connect with partners at all levels across the organization comfortably and facilitates discussions in a constructive manner.

The following, although not mandatory, will be appreciated…

  • Previous experience in a role focused on providing support is highly valued.
  • Knowledge/experience in AI ML techniques

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

#LI-DNP #LI-DNI

Country

Portugal

Why join Kantar?

We shape the brands of tomorrow by better understanding people everywhere. By understanding people, we can understand what drives their decisions, actions, and aspirations on a global scale. And by amplifying our in-depth expertise of human understanding alongside ground-breaking technology, we can help brands find concrete insights that will help them succeed in our fast-paced, ever shifting world.

And because we know people, we like to make sure our own people are being looked after as well. Equality of opportunity for everyone is our highest priority and we support our colleagues to work in a way that supports their health and wellbeing. While we encourage teams to spend part of their working week in the office, we understand no one size fits all; our approach is flexible to ensure everybody feels included, accepted, and that we can win together. We’re dedicated to creating an inclusive culture and value the diversity of our people, clients, suppliers and communities, and we encourage applications from all backgrounds and sections of society. Even if you feel like you’re not an exact match, we’d love to receive your application and talk to you about this job or others at Kantar.

Top Skills

Spark
Databricks
Pyspark
Python
The Company
HQ: London
34,629 Employees
On-site Workplace

What We Do

Kantar is the world’s leading marketing data and analytics company. . We have a complete, unique and rounded understanding of how people think, feel and act; globally and locally in over 90 markets. By combining the deep expertise of our people, our data resources and benchmarks and our innovative analytics and technology, we help our clients understand people and inspire growth.

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