Take your career to new heights with Loopio!

Seeking a data-driven individual to join the Strategic Insights team within Engineering to empower customers with actionable insights, improving proposal quality, win rates, and team productivity. Focus on enhancing dashboard usability, integrating tailored recommendations, increasing team productivity through analytics, and showcasing Loopio's ROI to executives.

We are looking for an experienced Data Engineer to build and support the delivery of data pipelines, used for analytics both internally by Loopio’s teams and embedded within the Loopio platform for our customers. Our perfect candidate has deep technical skills and is comfortable working in an evolving technology infrastructure. This is a unique opportunity to join a growing team of creative and passionate individuals committed to solving real world problems. You will empower engineers, product, and data scientists with tools that enable and streamline data-driven decision making, analysis, and feature development.

You will partner closely with ML Engineers, Software Developers and Data Scientists, Product Managers, and other business stakeholders to help us take Loopio’s data value to the next level.

This role requires close collaboration with teams across Canada, the UK, and India. To accommodate the time zone differences, you will be expected to work from 11 am to 7:30 pm IST.

What You’ll Be Doing

• Be responsible for building, evolving and scaling data platforms and ETL pipelines, with an eye towards the growth of our business and the reliability of our data

• Promote data-driven decision-making across the organization through data expertise

• Build advanced automation tooling tooling for data orchestration, evaluation, testing, monitoring, administration, and data operations.

• Integrate various data sources into our Data lake, including clickstream, relational, and unstructured data

• Developing and maintaining a feature store for use in analytics & modeling

• Partner with data scientists to create predictive models to help drive insights and decisions, both in Loopio’s product and internal teams (RevOps, Marketing, CX)

• Work closely with stakeholders within and across teams to understand the data needs of the business and produce processes that enable a better product and support data-driven decision-making

• Build scalable data pipelines using Databricks, and AWS (Redshift, S3, RDS), and other cloud technologies

• Build and support Loopio’s data warehouse (Redshift) and data lake (Databricks delta lake)

• Orchestrate pipelines using workflow frameworks/tooling

What You’ll Bring to the Team

• We are looking for a Senior Data Engineer with 4+ years of experience to join our team

• Strong understanding of database concepts, modeling, SQL, query optimization

• Ability to learn fast and translate data into actionable results

• Experience developing in Python and Pyspark

• Hands-on experience with the AWS services (RDS, S3, Redshift, Glue, Quicksight, Athena, ECS)

• Strong understanding of relational databases (RDS, MySQL) and NoSQL

• Experience with ETL & Data warehousing, building fact & dimensional data models

• Experience with data processing frameworks such as Spark / Databricks

• Experience in developing Big Data solutions (migration, storage, processing)

• Experience with CI/CD tools (Jenkins) and pipeline orchestration tools (Databricks Jobs, Airflow)

• Experience working with data visualization and BI platforms (Quicksight, Tableau, Sisense, etc)

• Experience working with Clickstream data (Amplitude, Pendo, etc)

As a Senior Data Engineer

• Experience in a high-growth agile software development environment

• Experience building and supporting large-scale systems in a production environment

• Strong communication, collaboration, and analytical skills

• Demonstrated ability to work with a high degree of ambiguity, and leadership within a team (mentorship, ownership, innovation)

• 5+ years of experience, including 2+ years experience in data engineering or a similar role

• Ability to clearly communicate technical roadmap, challenges, and mitigation

️ Bonus Qualifications ️

• Experience with container orchestration (leveraging tools like Docker, ECS, and Kubernetes)

• Experience working with BI PaaS / SaaS solutions

• Familiarity with microservice architectures

• Experience with Natural Language Processing techniques

• Experience using deep learning frameworks such as TensorFlow / Pytorch

Where You’ll Work

• Loopio is a remote-first workplace because we recognize the advantages of working flexibly. We are HQ’d in Canada, with established hub regions around the world where we hire from.

• Our employees (or Loopers, as we call ourselves!) live and work in Canada (British Columbia and Ontario), London, and India (specifically in Gujarat, Maharashtra, and Bengaluru).

• Our India/UK hub employees work according to business hours stated in the job description above. This is intentionally designed to enable our global teams to have overlapping hours for collaboration.

• You’ll collaborate with your teams virtually across the UK, India, and North America (we’re just a Zoom call and Slack message away!) with core sync hours and focus time for headsdown work during the workday

• We encourage asynchronous collaboration to effectively work as a global #OneTeam!

Why You’ll Working at Loopio

• Your manager supports your development by providing ongoing feedback and regular 1-on-1s, we leverage Lattice for our 1:1s and performance conversations

• You will have the opportunity to elevate your craft and the opportunity to explore your creativity, with a dedicated professional mastery allowance for more learning support! We encourage experimentation and innovative thinking to drive business impact.

• We offer a wide range of health and wellness benefits to support your physical and mental well-being, starting day with Loopio.

• We’ll set you up to work remotely with a MacBook laptop , a monthly phone and internet subsidy, and a work-from-home budget to help get your home office all set up.

• You’ll be joining a supportive culture that has thoughtfully built out opportunities for connections in a remote first environment.

• Participate in townhalls, AMA (Ask-Me-Anything), and quarterly celebrations to celebrate the big wins and milestones as #oneteam!

• Our four active Employee Resource Groups offer opportunities for employees to learn and connect year-round.

• You’ll be a part of an award-winning workplace with an opportunity to make a big impact on the business.

Questioning your qualifications? Read this Hi there, we recognize that all too often, potential candidates don’t apply for a position simply because they don’t hit every single criteria included in the job description—particularly members of underrepresented groups.

Whether or not your experience checks off all the boxes on a job posting, we still encourage you to apply to ensure that your application receives a review from our team. We understand that a resume can only showcase so much during the applicant stage, so we've created prompts in the application for you to share more about yourself. If you've made a career transition (or a few!), you’re self taught in a new role, or you have skills/experience you’d like to highlight, we want to hear more about what you could bring to the table.

AI in Recruitment At Loopio, we leverage artificial intelligence (AI) technology to enhance our recruitment process. These tools assist with tasks such as resume screening, drafting preliminary job descriptions, generating initial interview questions, and occasionally sourcing prospective candidates. However, AI is never used to make final hiring decisions; our use of AI serves to support repetitive and administrative tasks in order to streamline our hiring and recruitment workflows. We are committed to the responsible use of AI in our hiring practices, prioritizing both an improved candidate experience and operational efficiency. Our standardized hiring practices remain focused on reducing biases, with all key hiring decisions solely made by our team. We continuously review and refine our hiring practices to align with industry best practices and evolving legal guidelines

Loopio is an equal opportunity employer that is deeply committed to building equitable workplaces that are diverse and inclusive. We actively encourage candidates from all backgrounds and lifestyles to consider us as a future employer. Please contact a member of our Talent Experience team (work@loopio.com) should you require accommodations at any point during our virtual interview processes.