At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

 If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team. 

The Finance Team manages the performance and risk profile of Bell, ensuring the needs of customers, investors and employees are balanced with long-term business success. We work closely with internal and external stakeholders to develop and execute plans that help the company achieve its strategic objectives and ensure financial sustainability.  
 The D&A CoE was created with a mandate to improve the accessibility, speed and reliability of our critical datasets across the function and enable us to shift from data aggregation to enhanced value-add support services leveraging the latest technology and automation for our business partners.  

 A Senior Data Engineer reporting to the Director of Finance, you will need to consult with various stakeholders to understand business and technology challenges, design solutions in partnership with other subject matter experts.  The ideal candidate will deliver solutions that improve Finance efficiencies and insights. Using your Leadership, technical, Business Intelligence and Finance skills, you will build tools to improve speed and accuracy in reports and generate insights that will allow Finance Operations to analyze, predict and optimize business results. 

In particular, you will lead a team to create solutions and insight that combine, transform, analyze, share and catalyze consumption of financial results and related performance KPIs. The ideal candidate will leverage their leadership, technical, business, digital and creative competencies to drive information and insight from the large amount of data stored within our environments reporting status to the Senior Leadership. 

  Responsibilities:

• Lead a team of Data Engineers & Data Analyst
• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

 Critical Qualifications & Experience:

• Candidate with 5+ years of senior experience working in the telecom industry on complex data sets
• Strong leadership and high tolerance of ambiguity
• Polished written and verbal communication skills
• Experience leading team to build and optimize ‘big data’ data pipelines, architectures and data sets
• Proven Leadership and business acumen, with demonstrated ability to influence and to be a trusted advisor to senior management
• Advanced working SaS knowledge and experience working with relational databases, query authoring (PROC SQL).
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Strong organizational.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Experience with relational databases SaS, Teradata, Oracle & MS SQL.

Other Qualifications & Experience:

• Internal Bell systems knowledge required (ie: P77, PBW, Network Capital)
• Experience with data pipeline and workflow management tools.
• Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Alteryx, SaS EG, SQL Assistant, MS Office
• Experience with big data tools: Hadoop, Spark, Kafka, “Cloud computing solutions”, an asset
• Experience with object-oriented/object function scripting languages: Python, Java,