• Recruiting and building the highly effective team. • Ensure high utilization for team members by timely staffing projects and other engagements. • Engages with Go-to-market and Account teams to understand customer requirements and expectations. • Regular checkpoints with team members. • Giving regular feedback and recognizing good performance. • Being a role model for the team; promoting integrity and processes. • Building team atmosphere and ensuring members well-being. • Developing and maintaining team operating rhythm. • Proactively participate in improving competency unit in Lingaro. • Helping team members to achieve high customer satisfaction on their tasks. • Collaborate with ADMs on offers effort estimation and costing. • Ensuring profitability on a team at and individual level. • Be able to work in at least one of the following roles: Data Engineering Tech Lead, Data Engineering Architect, Solution Architect, Business Analyst, Engagement Manager, Project Manager.

Role Description Woolpert is hiring a Geophysical Data Processing Specialist to our Geospatial Maritime Data Processing Team. This position is eligible for remote work, although the team supports most projects on the west coast on Pacific Time. Projects this team typically support include: - Private sector oil & gas - Offshore wind - Environmental remediation - Object detection - Cable route design - Utility detection - Pipeline crossings - Offshore platform and utility inspection surveys The data processing team supports the hydrographic and marine geophysical survey teams within the United States. Work travel and field work is not required. Work duties include data processing for our primary survey tools: - Magnetometer - Sub-bottom profiler - Side scan sonar - Multibeam Multisystem projects are typical; therefore, although the candidate should have a background processing geophysical data, the data processor will supplement with multibeam ~50% of the time to support all projects. Qualifications - Bachelor’s degree in surveying, geomatics, environmental science, ocean engineering, geology, geography, geophysics, oceanography, spatial science, marine science or comparable field. Requirements - Minimum 2 years of experience processing marine geophysical and hydrographic data such as marine magnetometer, sub-bottom, side scan, and multibeam. - Skill sets would include a basic workflow: converting data, importing data, applying filters where needed, ferrous feature detection, sub-surface anomaly detection, and a general understanding of sub-surface horizon mapping. - Experience using geophysical data processing software such as SeaView, SonarWiz, Kingdom, or Oasis Montaj. - Experience using hydrographic data processing software such as QINSy, CARIS, EIVA, or Beamworks. Preferred Experience and Qualifications - A foundation in hydrographic and geophysical data collection is not mandatory but is preferred. - Experience using Global Mapper, ArcGIS, or AutoCad Civil3D. - Experience with 3D visualization. Benefits - Base pay offered may vary depending on job-related knowledge, skills, and experience. - Pay Range: $80,000 - $110,000 USD.

Role Description We are looking for a Senior Data Engineer to join a high-impact project focused on accelerating a Microsoft Fabric migration initiative. This is a hands-on role where you will play a key part in designing, building, and migrating data solutions into a modern data platform leveraging Microsoft Fabric and the Azure ecosystem. You will work closely with the Data leadership team to help execute a near-to-long-term data roadmap. - Lead and support the migration of existing data platforms into Microsoft Fabric - Design and implement scalable data pipelines and workflows - Build and optimize data models within a Lakehouse architecture - Work with large datasets, ensuring performance, reliability, and data quality - Collaborate with stakeholders to translate business requirements into technical solutions - Contribute to the evolution of the organization’s modern data platform - Ensure best practices in data engineering, governance, and security Qualifications - 5+ years of experience in Data Engineering - Strong experience with Azure Data Services (Data Factory, Synapse Analytics, Data Lake, etc.) - Hands-on experience with Microsoft Fabric (highly preferred) or strong willingness to ramp up quickly - Advanced SQL skills and solid experience with Python - Experience building and managing ETL/ELT pipelines - Strong understanding of modern data architectures (Lakehouse, Medallion, etc.) - Experience working in cloud-based environments (Azure required) - Proven experience in data platform migrations or large-scale data transformations Requirements - Experience with Power BI and semantic models (nice-to-have) - Familiarity with Delta Lake (nice-to-have) - Experience in Agile environments (nice-to-have) - Exposure to data governance and data quality frameworks (nice-to-have) Benefits - 100% remote from anywhere - Competitive compensation in USD - Training allowances for upskilling - Work with global teams and top-tier clients - Home-office hardware setup - PTO for recharge and balance - People-first culture built on trust, autonomy, and impact Compliance & Equal Opportunity Launchpad is an equal opportunity employer committed to creating an inclusive environment for all applicants. We do not discriminate on the basis of race, color, religion, gender identity, sexual orientation, age, disability, or any other protected status under applicable laws in Canada and British Columbia. All candidate information will be handled confidentially and used solely for recruitment purposes in accordance with applicable privacy regulations.

• Help shape the future of digital (parcel) logistics by developing advanced analytics systems for own and 3rd-party systems. • Develop analytics applications based on the data provided by systems in a parcel sorting centre. • Collaborate with Product Management and R&D. • Work within interdisciplinary development teams, including machine control and system architecture.