Data Engineer

Full-time
Costa Rica, Heredia, Costa Ricavia hangar CareersPosted Mar 10, 2026
Match with my CV

Technical skills

PythonSQLData engineeringData analysisBusiness intelligenceTechnical writing

Tools

CRM

Methods

Email marketingRevenue operations

Who We Are

We think too much marketing isn’t us. It’s mass markets, not audiences of one. Homogenous groups to be targeted, not individuals to be inspired. Segments to reach, not people with their own ideas and ambitions. It’s one size fits all, and it’s dull.

When it comes to individuals, we’re fierce. We stand up for individuality. We speak up against bland, broad-brush generalizations. We fight for solutions that adapt to the individual’s needs, beliefs, behaviors, and aspirations. And we commit to doing this in every aspect of our work for clients and their consumers.

We actively foster an inclusive workplace where diversity and individual difference are valued and leveraged to achieve the agency’s vision. And most importantly, we value every individual’s wellbeing.

We are Fiercely Individual.

How We Do It

At RAPP, we are fiercely focused on the individual and how we can create value from every individual’s experience with a brand. We do this across three capability areas: customer-centric consulting, creativity that inspires action and customer experience management.

Our data analysts know who that person is. Our strategists understand what is needed. And our award-winning technologists and creatives know how to get it to them.

RAPP is an integral part of Omnicom’s Precision Marketing Group, comprising 4,000 creatives, technologists, strategists, and data and marketing scientists across 40 global markets.

Your Role

As a data engineer, you define solutions for the use, extraction and manipulation of data - driven by the balanced combination of business needs and consumer preferences. You work in close collaboration with multidisciplinary teams to provide the data needed, in the optimal format for making critical, real-time decision.

Your

Responsibilities

  • Write queries and design data workflows to facilitate campaign development, deployment and reporting.
  • Establish quality control measures to ensure accuracy of data and reports
  • Assist in the creation and documentation of database processes and business rules
  • Provide recommendations for continuous improvement in data accessibility and reporting as driven by the business needs
  • Participate in internal and client meetings to provide data strategy recommendations, knowledge and expertise
  • Work to automate & continuously optimize data processes and reports

Skills And Experience

  • Experience writing complex SQL statements and mapping relational database structure
  • Excellent communication skills (written and verbal) and first-rate interpersonal skills at all levels
  • Strong experience working with an enterprise campaign management solutions such as Adobe Campaign, Unica, Eloqua, Marketo and/or Salesforce Marketing Cloud.
  • Experience with BI tools such as Tableau, Domo, QlikView, GoodData, Looker, etc., is a plus
  • Experience R, Python or other analytical platforms is a plus

Excellent verbal and written communication skills and experience working with cross-functional teams both within and between organizations, including the ability to explain complex processes to a non-technical person

  • Ability to be self-directed, highly motivated and have fun while working hard in a fast-paced environment
  • Proven track record of taking ownership and driving results
  • Ability to stay abreast and inform internal teams of current best practices and trends in email design and development
  • Understanding of conditional formatting and/or dynamic content requirements a plus

Education And Other

Requirements

  • Bachelor's degree in a quantitative or technology field
  • 3-5 years of experience in a data engineering or advanced analytics role

Strong drive to improve and learn new skills

  • Any data-related certifications, such as SQL, SAS, etc., are an advantage

Before you apply

  • 1Which parts of your CV prove experience with Python, SQL, and Data engineering?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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