At Kognitiv Inc., we’re redefining what it means to be a Workday partner. As one of the fastest-growing companies in the ecosystem, we bring deep expertise, innovative thinking, and a people-first mindset to everything we do. We’re not just building better Workday solutions—we’re building a company where talented people thrive.
Ready to do your best work? Join us.
The Senior Data Analytics Engineer designs, builds, and maintains the data models and pipelines that power business intelligence across the organisation. You sit at the intersection of data engineering and analytics, transforming raw data into clean, reliable, and well-documented assets that analysts and stakeholders depend on every day. This role ensures that complex enterprise datasets are securely processed, reliably stored, and efficiently structured for high-performance analysis, reporting, and predictive modeling.
Responsibilities
Build and maintain scalable, secure ETL/ELT pipelines, ingestion systems, and transformation workflows across distributed cloud data warehouses. Optimise for query performance, cost, and scalability as data volumes grow.
Establish standard data schemas, dimensional modeling structures, and automated validation tests to enforce data accuracy, consistency, and downstream reliability.
Manage and optimize backend data layers feeding business intelligence systems, reporting engines, and analytical discovery platforms.
Conduct query performance tuning, data partitioning analysis, and infrastructure scaling to control computational overhead and latency within cloud data lakes.
Partner with business units, IT leadership, and software engineers to translate business requirements into sustainable data engineering architectures.
Qualifications
Degree in Data Engineering, Computer Science, Mathematics, Statistics, or an equivalent technical field, or validated professional competency.
Documented, high-level mastery of advanced data transformation languages, cloud-native enterprise data warehouses (such as Google BigQuery), and scalable transformation tools.
Proven technical capacity to manage, structure, and optimize semantic data models specifically tailored for advanced analytics and visualization applications (such as Google Data Studio (Looker) Apache Superset, Workday Prism, or equivalent).
High proficiency in complex SQL dialect structures and professional backend data processing scripts (e.g., Python).
Kognitiv is an Equal Opportunity Employer
All applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Kognitiv will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.
Work Authorization
Applicants for employment in the country in which they are applying (Employing Country) must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the Employing Country and with Kognitiv.
Candidates who are currently employed by a client of Kognitiv or an affiliated Kognitiv business may not be eligible for consideration.
Estimated Application Deadline
This job postings' application deadline is an estimate, but ultimately the fill date is flexible and the job will remain open until filled. Any updates on deadlines will be communicated through this job posting.
2026-09-12#LI-NS1
Skills Required
- Degree in Data Engineering, Computer Science, Mathematics, Statistics, or equivalent technical field or validated professional competency.
- Documented mastery of advanced data transformation languages and scalable transformation tools.
- Experience with cloud-native enterprise data warehouses such as Google BigQuery.
- Proven ability to manage and optimize semantic data models for analytics and visualization (Google Data Studio, Looker, Apache Superset, Workday Prism, or equivalent).
- High proficiency in complex SQL dialects and backend data processing scripts (e.g., Python).
- Work authorization that does not require sponsorship now or in the future.
What We Do
The founders and consultants of Kognitiv live and breathe Workday®. We understand that going live with your new system is just the first step in a long partnership with Workday® and its ecosystem. Implementations are fast and furious, with work like reports, dashboards, and knowledge transfer often postponed until after a go-live. In some cases, your implementation partner has already moved on to its next project. This is why Kognitiv exists: to bridge the gap for those clients wanting to better maintain and enhance their system post a go-live. Kognitiv offers simplified Workday® consulting and support without the need for long-term contracts, complicated rate cards or minimum spend requirements. This solution allows clients to pay for only what they need, when they need it, such as rolling out new features to your team, handling updates, or adding new divisions to your organization. Whatever project is thrown your way, Kognitiv has the experts to scale up your team quickly to handle the workload.
