Senior Data Developer (Analytics)

Accountabilities: • Engage with business stakeholders to understand their context, challenges, and underlying needs, translating requirements into clear technical specifications for analytics and AI solutions.

• Own data products end to end, covering ingestion, modeling, transformation, validation, delivery, monitoring, and continuous improvement.

• Implement rigorous data validation, automated testing, and quality controls to ensure accuracy, consistency, and integrity.

• Design and develop transformation layers that apply consistent business rules, pre-aggregate information, and produce datasets ready for dashboards and AI applications.

• Collaborate with AI teams to define and prepare structured datasets, data dictionaries, and models that support intelligent platforms and reporting.

• Build and maintain ingestion pipelines from multiple sources using SQL and Python while ensuring performance, scalability, and reliability.

• Proactively identify opportunities for improvement, anticipate stakeholder needs, and propose or challenge solutions when appropriate.

• Deliver reliable data solutions with speed and precision while maintaining high standards of quality.

• Communicate technical concepts clearly to technical and non-technical audiences, facilitate alignment, present solution proposals, and document modeling and architecture decisions.

Requirements:

• Proven senior-level experience in Data Engineering or Analytics Engineering.

• Advanced proficiency in SQL and Python for data analysis, transformation, and validation.

• Strong experience with data modeling and data warehouse design.

• Hands-on experience with BigQuery or another cloud-based data warehouse platform.

• Ability to understand complex business logic and validate data from a business perspective as well as a technical one.

• Strong ownership and proactive mindset, with the ability to identify improvements, challenge requirements when necessary, and act independently.

• Experience specifying and preparing data requirements for AI or machine learning applications.

• Advanced or fluent English, both written and spoken, with the ability to communicate regularly with international stakeholders.

• Proven ability to deliver high-impact projects quickly while maintaining quality.

• Experience with dbt for analytical data transformation and pipeline orchestration is a plus.

• Familiarity with data ingestion and orchestration tools such as Airbyte or Airflow is desirable.

• Knowledge of automated testing practices and CI/CD for data pipelines is an advantage.

Benefits:

• Health and dental insurance.

• Meal and food allowance.

• Childcare assistance.

• Extended paternity leave.

• Gym, fitness, and health and wellness partnerships through Wellhub and TotalPass.

• Profit Sharing and Results Participation (PLR).

• Life insurance.

• Continuous learning through a dedicated learning platform.

• Discount club and employee partnerships.

• Free online resources focused on physical, mental, and overall well-being.

• Pregnancy and responsible parenting course.

• Partnerships with online learning platforms.

• Language learning platform.

• Inclusive workplace with dedicated health and well-being support and inclusion specialists.

• Support and accommodations for professionals with disabilities throughout the selection process.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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