Benefits:

• Encouragement to be innovative and challenge status quo

• Opportunities for professional growth and development

• A collaborative and innovative work environment

• Exposure to cutting-edge technologies

Education Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience)

Experience Requirements:

• Proven experience in automated software testing

• Expertise with test automation tools, Object-oriented programming and scripting languages

• Proficiency with at least one performance test tool/framework

• Experience with test management and defect tracking tools (e.g., Azure Devops, JIRA, TestRail)

• Experience building solutions in Azure, GCP and/or AWS a plus

Other Requirements:

• Understanding of the different types of performance testing and when/how to apply them

• Strong understanding of software development methodologies and the software development life cycle (SDLC)

• Strong analytical and problem-solving skills with attention to detail

• Excellent communication skills and ability to work collaboratively in a team environment

• Self-motivated and able to work independently with minimal supervision

Responsibilities:

• Develop and maintain detailed test plans, test cases, and test scripts based on software requirements and user stories

• Provide guidance to clients about test design, both functional and non-functional

• Lead small teams of test engineering consultants on technical implementation and delivery

• Implement functional and performance testing based on client necessity and system/architecture understanding

• Build and execute automated tests to identify defects and issues in software applications

Benefits:

• Diverse and collaborative environment

• Opportunities to grow

• Work on cutting-edge technology

• Flexible working hours

• Attractive compensation with equity plan

Experience Requirements:

• Senior level experience

• Strategic mindset

• Excellent leadership skills

• Excellent communication skills

• Interpersonal skills

Other Requirements:

• Highly motivated individuals

Responsibilities:

• Take initiative to set priorities and exceed goals

• Gain deep knowledge on functions of an AI enterprise software company

Benefits:

• Competitive compensation with performance-based incentives

• Comprehensive health and wellness benefits

• Flexible time off and company holidays

• Remote, hybrid, and flexible work options

• Opportunities for rapid professional growth

Experience Requirements:

• 12+ years of progressive experience in data platforms

• 6–8 years in senior solution architecture or platform leadership roles

Other Requirements:

• Deep expertise in data product thinking

• Hands-on experience architecting unified data platforms

• Exceptional technical storytelling skills

• Proven people management experience

• Excellent stakeholder management

Responsibilities:

• Define and evolve the Data OS as a platform for building reusable data products

• Own the end-to-end solution architecture for Data OS implementations

• Craft compelling narratives and presentations for clients and executives

• Build, lead, and mentor a high-performing team of solution architects

• Serve as the primary point of contact for external clients and internal stakeholders

Benefits:

• Annual bonus linked to performance/OKRs

• Learning & coaching benefits

• Fun working atmosphere

• Development path

• Opportunity to build a team from scratch

Education Requirements:

• 2025 passing out batch with a bachelor's degree in finance, economics, or business

Experience Requirements:

• Strong interest in private equity and investment banking

Other Requirements:

• Intrigued by detailed company analysis

• World-class communication skills

• Structured approach to clear deliverables

Responsibilities:

• Research, analyse and maintain Global company profiles

• Perform checks of meaningful events (annual reports, M&A)

• Support value-added data projects

• Cooperate with PEI Associates globally

Benefits:

• Competitive base salary

• Annual bonus linked to performance/OKRs

• Flexible hybrid working model

• Coaching and feedback-driven approach

• Outings and events

Experience Requirements:

• 5+ years of experience in Strategy Consultant, Global IBD, or Big 4

• Successfully managed a team size of ~10 or more FTEs

• Experienced in company analysis and research

Other Requirements:

• World-class communication skills

• Bias to action

• Hands-on mindset

• Empathic management style

Responsibilities:

• Deliver on updates targets for regions

• Quality guardianship through reviews and training

• Support hiring of research analysts

• Train, develop and motivate team members

• Identify and drive technical automation initiatives

Benefits:

• Hands-on experience with real-world AI projects

• Mentorship from experienced professionals in AI and computer vision

• Opportunity to contribute to cutting-edge products

• Supportive team culture

• Steppingstone to a career in AI and computer vision

Education Requirements:

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field

Experience Requirements:

• Basic understanding of computer vision and machine learning concepts

• Proficiency in using annotation tools (e.g., RoboFlow, CVAT)

• Familiarity with Python and OpenCV (plus)

Other Requirements:

• Strong attention to detail

• Excellent analytical skills

• Ability to work independently

Responsibilities:

• Annotate, label, and categorize images and videos

• Review and validate annotations for accuracy

• Collaborate with AI/ML team to define guidelines

• Perform quality control checks on datasets

• Manage and organize large datasets

Experience Requirements:

• Strong T-SQL, SQL programming (SPs/functions), SQL Server, SSIS

• Data modeling experience (Kimball, Dimensional, Data Vault 2.0)

• Azure: Data Factory, Databricks, Synapse Analytics, ADLS Gen2

• Azure Analysis Services – cubes (tabular & multidimensional)

• Experience with ETL, source control (Azure DevOps), and deployment pipelines

Other Requirements:

• Notice Period: 15–20 days

• Excellent analytical, organizational, and communication skills

• Strong ownership, resilience, teamwork, and multitasking abilities

Responsibilities:

• Collaborate with end-users and analysts to define data requirements

• Perform ad hoc data analysis and wrangling using Synapse Analytics and Databricks

• Build dynamic, metadata-driven data ingestion patterns using Azure Data Factory

• Maintain an enterprise data warehouse using Data Vault 2.0

• Build data products and data marts, Azure Analysis Services databases, and cubes

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.

Experience Requirements:

• At least 2 years of professional experience in data science or a related field.

• Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.

• Experience with big data technologies like Hadoop, Spark, or Hive is a plus.

Other Requirements:

• Proficiency in programming languages such as Python, R, or Scala.

• Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib.

• Strong understanding of statistical modeling, data mining, and machine learning techniques.

Responsibilities:

• Analyzing and interpreting complex data to identify trends, patterns, and insights.

• Developing, validating, and implementing predictive models and algorithms.

• Collaborating with business units to understand their needs and provide data-driven solutions.

• Communicating findings through visualizations and presentations to stakeholders.

• Maintaining and improving existing data pipelines and tools.

Education Requirements:

• Excellent, consistent academic record

Experience Requirements:

• Fundamental knowledge on database, data modelling and cloud services

• Interest to learn Azure data services

• Coding knowledge in SQL and Python is an advantage

• Familiarity with DevOps practices, CI/CD, and Infrastructure as Code

Other Requirements:

• Excellent problem-solving skills and analytical thinking

• Attention to detail

• Proactive, self-motivated, and results oriented

Responsibilities:

• Assisting in design and management of large-scale systems using Azure Databricks

• Help design and optimize ETL processes with Azure Databricks

• Develop and optimize SQL queries for ETL routines

• Translate functional requirements into detailed architecture and software

• Acquire knowledge towards Azure data engineering certification

Benefits:

• Satisfying your financial goals through competitive compensation

• Periodic performance bonuses

• Comprehensive health plans

• Flexible work arrangements

• Generous paid leaves

Education Requirements:

• Certificates of Scaled Agile Framework (SAFe)

• Agile/Scrum certificates

• PMP certificate

Experience Requirements:

• Leading multi-regional / distributed Agile development project teams

• Software delivery, development process, and engineering management

• Project management, practice/service, and mentoring

• Agile methodologies and DevOps culture

• Jira and Confluence for project management

Other Requirements:

• AI-Native Mindset: applying AI in engineering

• Roadmap and product backlog definition (Themes/Epic)

• Human resource management and collaboration skills

• Excellent English communication

• Organizational, analytical, and hustle skills

Responsibilities:

• Oversee the development and implementation of Katalon's quality management platform

• Work collaboratively with cross-functional teams to drive platform reliability

• Provide technical leadership and guidance to the engineering team

• Identify and implement process improvements

• Recruit, retain, and manage a high-performing engineering team

Benefits:

• Medical, Dental & Vision

• 401(k) Retirement Plan

• Basic Life Insurance

• Student Loan Repayment

• PTO

Experience Requirements:

• 8+ years working in a data analytics or business intelligence role

• Expert SQL skills (10B+ rows)

• Experience with Looker and Sigma

• Solid understanding of dbt cloud

• Familiarity with python and Streamlit

Other Requirements:

• Hands-on experience using AI in your work

Responsibilities:

• Create high quality analytic and data products

• Partner with executives as a trusted thought partner

• Lead the migration from Tableau to a new BI solution

• Design and build executive dashboards

• Publish external thought leadership on cannabis market trends

Experience Requirements:

• 10+ years of data engineering experience

• Minimum of 7 years dedicated to the Big data stack

• Expert in Python and PySpark

• Advanced SQL skills

• Production experience with Apache Airflow

Other Requirements:

• Solid background in data warehousing and dimensional modelling

• Experience with SQL, Trino, Apache Iceberg preferred

• Knowledge of Tableau CRM/CLOUD and Salesforce platforms preferred

Responsibilities:

• Develop Apache Airflow DAGs and PySpark ETL pipelines

• Write optimized SQL queries for data transformation

• Build data products serving Business Process and Product Analytics

• Implement data quality and monitoring solutions

• Optimize pipeline performance and troubleshoot production issues

Experience Requirements:

• 6+ years of experience in Data Engineering roles

• Strong hands-on expertise in Snowflake

• Extensive experience with dbt (Data Build Tool)

• Advanced proficiency in SQL

• Strong programming skills in Python

Other Requirements:

• Solid understanding of ELT/ETL architecture

• Experience with workflow orchestration tools such as Apache Airflow

• Familiarity with CI/CD practices for data pipelines

Responsibilities:

• Design, develop, and maintain scalable data pipelines using Python and modern ELT frameworks

• Build and manage robust data warehouse solutions on Snowflake

• Develop modular, tested, and documented data transformations using dbt

• Implement best practices for analytics engineering

• Optimize Snowflake performance through warehouse tuning and query optimization

Experience Requirements:

• 3+ years

Responsibilities:

• drive our continued leadership in the Value Selling platform sector

Education Requirements:

• Strong mathematical and statistics background

Experience Requirements:

• 2 to 4 years of relevant industry experience

• Experience in machine learning frameworks such as Tensorflow, Caffe, PyTorch, or MxNet

• Experience in using design patterns, algorithms and data structures

• Hands on development experience in Python and packages such as NumPy, Sci-Kit Learn and Matplotlib

• Experience in model building

Other Requirements:

• Experience in Linear algebra, statistics & Probability skills

• Experience in feature engineering, model performance tuning, and optimizing machine learning models

• Skills in Computer Vision and Deep Learning

Responsibilities:

• Analyze large amounts of raw information to find patterns

• Build data products to extract valuable business insights

• Analyze trends to make better decisions

Experience Requirements:

• 3–5 years of experience as a Data Engineer

• Strong SQL skills

• Strong Python experience for data processing

• Experience with Snowflake

• Experience with BigQuery

Other Requirements:

• Experience with data migration projects

• Knowledge of dbt, Airflow, or similar orchestration tools

• Experience in multi-cloud environments

Responsibilities:

• Migrate data and analytics workloads from BigQuery to Snowflake

• Support GCP to AWS data platform migration

• Develop and optimize ETL/ELT pipelines using Python and SQL

• Build analytics-ready datasets for reporting

• Support BI tools such as Looker, QuickSight, or Tableau

Benefits:

• Flexible work environment - hybrid or 100% remote

• Medical benefits

• 401K matching

• Generous paid time off

• Learning Management System access

Education Requirements:

• Bachelor's degree required in Mathematics, Statistics, Computer Science, or related discipline

Experience Requirements:

• At least three years of experience working in data analysis and/or data mining

• Experience using R, Python, and/or SQL

Other Requirements:

• Strong command of relational databases and SQL (ETL)

• AdTech experience is a plus

• Strong stats background (regression, clustering, weighting)

Responsibilities:

• Develop scalable solutions to automate production of services

• Develop complex algorithms and statistical models for large datasets

• Establish insights and define key metrics to track performance

• Utilize visualization packages to present models and insights

• Mentor junior team members and provide technical advice

Benefits:

• Staff-first culture

• Mentorship

• Individual Development Plan

• Learning and growth

• Trust and transparency

Experience Requirements:

• Technical excellence

• Culture fit

• High performer

Other Requirements:

• Complete Topgrading framework process

• Reference checks setup by applicant

Responsibilities:

• Collaborate using an Agile approach

• Work in achievable sprints

• Technical deployments

Benefits:

• Staff-first culture

• Mentorship

• Individual Development Plan

• Learning and growth

• Trust and transparency

Experience Requirements:

• Technical excellence

• Culture fit

• High performer

Other Requirements:

• Complete Topgrading framework process

• Reference checks setup by applicant

Responsibilities:

• Collaborate using an Agile approach

• Work in achievable sprints

• Technical deployments