Data Engineer - Senior (REMOTE) JP982
Edmonton, ABPathlion
Candidates need strong data engineering experience with ETL/ELT, cloud platforms and dimensional modelling, plus analytical skills in Python, R, DAX and Power BI. Agile delivery experience is expected.
Azure Data Factory, Databricks, Microsoft Fabric, SSIS, Power BI, Python
Systems Analyst - Senior (HYBRID) JP223
Toronto, ONPathlion
Candidates need strong Power BI development, Excel, data modelling and analytical skills. They must be self-starters who can turn ambiguous reporting challenges into practical, scalable, decision-ready solutions.
Power BI, Excel, SQL, ServiceNow, EcoSys, Jira
IT Technical Business Analyst - Senior (ONSITE) JP1018
Edmonton, ABPathlion
Pathlion needs candidates with strong business analysis, process improvement and change management experience. Strong facilitation, communication and stakeholder engagement skills are essential, along with analytical and leadership ability.
Data Architect - Senior (REMOTE) JP1043
Edmonton, ABPathlion
7+ ansCandidates need a university degree in a related field, 7+ years of data architecture or integration experience and hands-on Databricks, Delta Lake, Spark and Unity Catalog skills. Experience with REST APIs, ETL/ELT, Azure data services, ServiceNow integration, public sector work and geospatial data standards is required.
Databricks, Delta Lake, Unity Catalog, PySpark, Azure Data Lake Storage, Azure Data Factory
Applications Architect - Senior (HYBRID) JP233
Toronto, ONPathlion
6+ ansCandidates need at least 6 years of application architecture experience, extensive systems analysis experience and knowledge of TOGAF or Zachman. Practical use of architecture tools such as Sparx EA or Archi, with ArchiMate or UML, is required, along with integration experience across SOA, APIs, web services and ESB.
Sparx EA, Archi, ArchiMate, UML, enterprise service bus, SAN
Senior Data Analytical Specialist/Scientist JP242
Toronto, ONPathlion
Candidates need senior experience in statistics, machine learning and advanced analytics, plus the ability to explain complex findings to technical and executive audiences. Experience with model validation, data quality assessment and Responsible AI and data governance practices is expected.