Job Search

Client engagement & solution design

Engage with clients to conceptualize and design data solutions, support sales teams with pre-sales activities and proof of concepts (POCs), and collaborate with executive, product, data, and design stakeholders to address data-related requirements and technical challenges.

Data engineering & platform development

Design, build, and maintain scalable data pipeline architectures and large, complex datasets that meet business requirements. Develop infrastructure for efficient data extraction, transformation, and loading (ETL/ELT) using technologies such as Microsoft, Azure, AWS, and GCP, while modernizing existing data environments and improving scalability.

Optimization, analytics & support

Identify and implement process improvements by automating manual workflows and optimizing data delivery. Build analytics tools to generate actionable insights on business performance, collaborate with data and analytics experts to enhance system functionality, and provide support to the support desk where applicable.

Experience & data engineering expertise Minimum of 3 years' experience in data engineering, with a proven ability to work with large-scale, complex, and disconnected datasets, extracting meaningful value through advanced data processing and manipulation techniques.

SQL, databases & data modeling Advanced SQL proficiency with strong experience in relational databases, query authoring, and familiarity with a variety of database technologies. Skilled in designing and working with robust data structures and data models.

Data pipelines & architecture development Experience building, optimizing, and maintaining scalable data pipelines and data architectures. Capable of designing end-to-end data solutions that support efficient ingestion, transformation, and delivery of data.

Data processing & workflow management Ability to build and maintain processes for data transformation, metadata management, dependency tracking, and workload orchestration to ensure reliable and efficient data operations.

Analytics & problem solving Strong analytical skills with experience working with unstructured datasets. Proven ability to perform root cause analysis on internal and external data and processes to answer business questions and identify improvement opportunities.

Collaboration & stakeholder engagement Experience working in cross-functional teams within dynamic environments, with strong communication and collaboration skills to support shared goals and data-driven decision-making.

Project management & delivery Strong organizational and project management skills, with the ability to manage priorities, deliverables, and timelines effectively while supporting multiple stakeholders and initiatives.