Data Engineer

January 11 2022
Industries Bank, Insurance, Financial services
Categories Accounting, Finance, Actuarial Services, Bank, Insurance, Financial Services, Corporate finance, Treasury, Data analyst, BI, Mining, AI, Data Business Analyst, Information Technology
Regina, SK

At Conexus, it’s not what we do, it’s how we do it.

Are you ready to make a move and work for a company who puts the financial well-being of its members first? It’s not just something we say at Conexus. It’s a promise delivered by our 900 employees each day. We are passionate about our members’ financial health, and our employees reflect that passion. At Conexus it’s about more than conducting a banking transaction, it’s about creating a personalized experience for each member. We do this by keeping it simple and lending an ear to each member’s individual needs throughout Saskatchewan.

Our employees are authentic, bold, creative, and responsible. They are the reason we consistently deliver outstanding member experiences. They’re more than just individuals who come to work each day, each employee is a vital part of Conexus.

The bigger picture

We are looking for a confident and energetic self-starter to come on board as our Data Engineer. Delivering a world-class member experience requires a data infrastructure and data solutions to continuously evolve. As a Data Engineer, you will play a pivotal role in operationalising our data & analytics initiatives for Conexus while guaranteeing compliance with data governance and data security requirements. You will work collaboratively with stakeholders across the organization to support their individual data and analytic needs and assist with data-related technical issues or opportunities that may arise. In addition, you will ensure that all systems meet the organizational business requirements and best industry practices.

How you’ll be spending your time

  • Building, managing and optimizing data pipelines, then moving these data pipelines & workloads effectively into production.
  • Working in close relationship with the Analytics Studio and other stakeholders to refine their data requirements for various data and analytics initiatives and their data consumption requirements.
  • Using modern tools, techniques and architectures to partially or completely automate the data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity.
  • Proposing appropriate and innovative data ingestion, preparation, integration and operationalization techniques in optimally addressing these data requirements.
  • Supporting and training team members in data pipelining and preparation techniques, which make it easier for them to integrate and consume the data they need for their own use cases.
  • Working with data governance teams to ensure that the data users and consumers use the data provisioned to them responsibly through data governance and compliance initiatives.
  • Promoting effective data management practices and a better understanding of data and analytics

The way people describe you

  • You excel in developing innovative and creative solutions
  • You have extensive experience supporting and working with cross-functional teams in a dynamic business environment
  • You are flexible and open to change
  • You have excellent interpersonal skills
  • You demonstrate good judgment, a sense of urgency and maintain high professional ethics.

The experience you bring

  • Relevant post-secondary education in computer science, statistics, data management, informatics, information systems or another quantitative field
  • 5+ years of professional experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
  • Ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management.
  • Experience with database programming languages like SQL & programming languages like R or Python.
  • Experience working with and optimizing existing ETL processes and data integration and data preparation flows and helping to move them in production.
  • Experience working with data science teams in refining and optimizing data science and machine learning models and algorithms.
  • Demonstrated ability to work across multiple deployment environments including cloud, on-premises and hybrid, multiple operating systems
  • Basic experience working with data governance/data quality and data security teams in moving data pipelines into production with appropriate data quality, governance and security standards and certification.
  • Knowledge in agile methodologies and capable of applying DataOps principles to data pipelines to improve the communication, integration, reuse and automation of data flows
  • General experience in the financial services, insurance, or retail industries would be an asset

Salary Range

$78,870 - $112,670 with 13% Short Term Incentive Target

What you get in return

Our team works tirelessly to ensure the financial success of each of our members. We think such dedication deserves recognition. That’s why we’re proud to offer some of the most competitive job perks of any employer around. Come, join our crew, and find out just how sweet the rewards can be:

  • Competitive compensation and benefits package
  • Industry leading work-life balance and rewards
  • Formal and informal employee development
  • Meaningful work that makes a real difference in our members’ lives

So, what do you think – does this sound like you? Do you think you’re the right fit for Conexus and can rock this role? If you do, and you have the qualifications outlined above, then we encourage you to apply now. If you have questions about this position, please contact Carmen at Carmen.Gray@conexus.ca.

Apply now!

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