Senior Data Engineer

Global Talent Acquisition and Development | Psychology ABOUT US We are a fast-growing, close-knit, dynamic, and successful Digital Services Company that specializes in providing support to large multinational companies for SEO, Product & Web Content Management, Social Media Management, Performance Marketing, E-Commerce Management, CRM & E-Mail Marketing Automation, DX & Development, Data Management & Analytics, Project Management, Digital Consultancy, and Recruitment. As a multinational Dutch company, we have offices in Amsterdam, Istanbul, Lisbon, Kuala Lumpur, Bogota & Portland. With our exceptionally talented & diverse team, and our A+ client portfolio, the world is our oyster We are currently looking for a Senior Data Engineer to join our team in Bogota, Colombia. Key Responsibilities Partner closely with data consumers (Analytics, Product, Business) to translate business requirements into scalable data solutions Design, build, and own high-performance, reusable, and scalable data models for the data warehouse, enabling consistent self-service analytics Develop and optimize complex data transformations using SQL and Python Own the full data lifecycle: ingestion, transformation, testing, deployment, monitoring, and documentation Ensure high data quality through validation, testing, and proactive issue detection Contribute to analytics enablement by preparing curated datasets suitable for advanced analysis and predictive use cases Work across a modern cloud data stack including Snowflake, Databricks, Airflow, Fivetran, AWS, and GCP (BigQuery, Cloud Composer, Dataflow) Skill Requirements 7+ years of experience as a Data Engineer or Software Engineer in a fast-paced, data-driven environment Proven ability to lead end-to-end data engineering projects with minimal supervision Strong expertise in SQL and Python , with hands-on experience in data modeling and data warehousing Experience with transformation frameworks and orchestration tools such as dbt, Airflow, Cloud Dataflow Solid understanding of software engineering best practices applied to data (version control, testing, CI/CD) Strong experience building scalable data pipelines and warehouses using cloud platforms (Snowflake, AWS, GCP, Databricks/Spark) Hands-on experience with ETL/ELT processes , scheduling tools, and API-based data integrations Familiarity with data visualization tools (e.g. Looker, Tableau, Adobe Analytics, Power BI) to support analytics use cases Strong attention to detail and a proactive approach to identifying and resolving data quality issues Self-starter with strong ownership, problem-solving, communication, and stakeholder management skills WHAT WE OFFER Hybrid Work Model : We enhance flexibility, foster productivity, and facilitate a healthier work-life balance for our employees in Bogota Meal Allowance : We provide a meal card of 14,000 COP per working day. Birthday Time Off : A half-day off is granted on birthdays. Additional Annual Leave Days on the 1st year : 5 additional leave days effective start date. Referral Program : Our referral program “Friends2Work” encourages our employees to refer their friends followed by a cash award once they are hired. Self-Improvement : Access to numerous online courses and training in our own in-house training platform NMQ Academy & access to our exclusive Mentorship Program provided by our brilliant senior peers. Team Environment : We give you the opportunity to work with global brands together with a fun, diverse, and dynamic team and become a part of a global success story If you are interested in joining our team, please apply with your CV. By applying to this job advertisement, you accept that you have shared your personal data within the scope of the clarification text we have provided at NMQ Digital is proud to be an equal-opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Don't be discouraged if you feel that you don’t fully meet every single one of the requirements for a particular role, there is always room for growth in NMQ Should your application be successful, a member of our Talent Acquisition team will make contact with you shortly. If, however, you are not contacted regarding the position you applied for within 30 days, please consider that your application has not been successful for that role. Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Analyst Industries: Marketing Services #J-18808-Ljbffr