Apgar is a specialized data, analytics and AI technology and service provider, supporting organizations in transforming, managing, and optimizing their critical data assets. We are certified as a Great Place To Work since 2022. Our projects span strategy design to technology implementation, focusing on innovation, collaboration, and consultant growth.
Joining Apgar UAE, established in 2024, means becoming part of a small but ambitious team where every member plays a key role in driving the entity's rapid growth and shaping its evolution. Here, collaboration is at the heart of implementing innovative, cutting-edge solutions for our clients. As a consultant, you benefit from tailored support and dedicated training focused on both your professional and personal development, empowering you to make a direct impact on the business and your own career trajectory.
Apgar is committed to fostering an atmosphere of trust, motivation, and well-being, where professionalism and growth go hand in hand with a friendly, supportive workplace culture.
Your Mission
As a Senior Data Engineer, you will be part of a team working on a client project. You will be supervised by a Technical Director or a Manager.
Key Responsibilities
Project Delivery
- Lead the implementation of end-to-end data management, analytics and AI solutions, covering all stages from initial design through deployment and ongoing operation.
- Participate in designing and defining the architecture of data solutions to ensure scalability, reliability, and alignment with business objectives.
- Implement data solutions and define their operating rules, including initialization of complex functionalities.
- Take ownership of continuous integration and application integration aspects, ensuring smooth and automated delivery pipelines (CI/CD).
- Maintain overall accountability for the quality of delivered solutions, including technical documentation and adherence to best practices.
- Provide technical leadership and support to project teams, mentoring peers and enforcing development standards.
- Assist clients with setup, administration, and operation of solutions in cloud or on-premise environments, establishing methodologies and DevOps processes.
- Design, build, and maintain scalable, robust data pipelines using a broad range of technologies (e.g., SQL, Python, Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow, Pyspark).
- Lead integration efforts to ensure consistency, accuracy, and security of data across multiple platforms.
- Collaborate closely with data architects, analysts, AI specialists, and business stakeholders to translate requirements into effective technical implementations.
- Optimize data retrieval performance and develop dashboards and reports for business consumers.
- Foster continuous improvement, innovation, and adoption of new technologies within the data engineering function.
Business Development
- Participate in pre-sales activities; involved in costing, responding to tender calls, drafting the technical part of tender in full autonomy.
- Identify new opportunities through client engagement and building client relationships.
R&D and Internal Assignments
- Assume responsibility for R&D activities in collaboration with the offers direction team.
- Contribute to technical knowledge capitalization to accelerate development, improve maintainability, and facilitate reuse.
- Test new software solutions from emerging vendors across various scopes to build new offers.
- Take part in management and organizational activities, including HR and offer strategy support.
- Mentor junior engineers, deliver feedback, and support their skills development through training activities and project guidance.
- Represent Apgar at external events, fostering thought leadership in data, AI, and digital transformation.
Your Profile
- Master's degree or equivalent, with at least 6+ years of previous experience in a consulting agency or an IT service company with a strong technical proficiency in SQL, Python, and big data technologies.
- Certification in Azure and/or GCP and/or Databricks is a plus
- Demonstrated experience with Databricks and Google Cloud and Azure.
- Solid understanding of CI/CD principles and DevOps practices.
- Excellent understanding of data architecture including data mesh, data lake and data warehouse, ETL/ELT
- Strong project management skills and the ability to lead multiple projects simultaneously.
- Excellent problem-solving skills and the ability to work under tight deadlines.
- Strong communication and interpersonal skills.
- Experience in the leading large scale data engineering projects
- A significant previous experience related to one of our offers (MDM, Meta data, Data Integration and Data preparation, BI, analytics, ML)
Benefits
- Competitive remuneration (fixed and variable packages)
- Company-supported training and career growth
- Social and Family benefits (health insurance, annual visa, ticket)
- Support for work-life balance in a motivating and collegial workplace.
Apgar values curiosity, collaboration, and passion; join a friendly, growth-focused team making a real impact in data management and AI transformation.
Future Apgarians, we are waiting for you!
