{"id":1244651,"url":"https://alion.io/job/rbc-manager-data-and-analytics-engineer","title":"Manager, Data and Analytics Engineer","company":{"id":1757835,"name":"Royal Bank of Canada","domain":"rbc.com","url":"https://alion.io/company/rbc-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":83000,"max_usd":163000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Pandas","optional":false},{"name":"Polars","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"Machine Learning","optional":true},{"name":"Spark","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-09-25T17:07:52Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-28T22:57:15Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Description\nWhat is the opportunity?\nAs Manager, Data and Analytics Engineer, you are responsible for transforming how data is used to drive business insights, reporting and decision-making.\nYou will have the opportunity to work across data engineering, analytics and business teams to build reliable data pipelines and analytical datasets that make information faster, more accessible and easier to use.\nThis role is ideal for someone who enjoys solving problems with data - from improving the way data is collected and transformed, to automating processes and creating the foundation for better analytics and reporting.\nWhat will you do?\nBuild and maintain ETL/ELT pipelines that bring together data from multiple sources.\nUse Python and SQL to extract, transform, validate and manipulate data.\nInvestigate data issues, identify root causes and work with technology/source-system teams to resolve them.\nDevelop and maintain scheduled data workflows, including monitoring, testing and troubleshooting.\nCreate clean, reusable analytical datasets that support reporting, analytics and business decisions.\nImplement data-quality checks and improve the accuracy, consistency and reliability of data.\nAutomate manual data and reporting processes to improve speed and efficiency.\nPartner with analytics and business stakeholders to understand requirements and translate them into data solutions.\nWhat do you need to succeed?\nMust Have\n3+ years of experience working with data, analytics or data engineering.\nStrong Python skills, particularly for data manipulation and automation.\nExperience with Pandas/Polars/PySpark or similar data-processing frameworks to work with large or complex data sets\nHands-on experience building or maintaining ETL/ELT pipelines, with experience in scheduling/orchestration tools and production data workflows.\nUnderstanding data quality, testing, validation and troubleshooting.\nCommunicate effectively with both technical & business stakeholders and translate business requirements into practical data solutions.\nNice to Have\nExperience with Tableau or other BI/reporting tools.\nExperience with cloud data platforms or modern data architectures.\nExperience in financial services, finance or accounting.\nExposure to machine learning, generative AI or agentic workflows.\n Job Skills\nData Analytics, Data Automation, Data Engineering, Data Pipelines, Extract Transform Load (ETL), Pandas (Software), Python (Programming Language), Structured Query Language (SQL)Additional Job Details\nAddress:\n180 WELLINGTON ST W:TORONTOCity:\nTorontoCountry:\nCanadaWork hours/week:\n37.5Employment Type:\nFull timePlatform:\nTECHNOLOGY AND OPERATIONSJob Type:\nRegularPay Type:\nSalariedPosted Date:\n2026-09-24Application Deadline:\n2026-10-10Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above\nOur Employment Opportunities\nAt RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.\nJoin our Talent Community\nStay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.\nExpand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.\nRBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.","description_format":"text","description_chars":4187,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-09-25T17:07:52Z"}],"liveness":{"score":77,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":0.9,"age_days":2,"expected_fill_days":6,"reasons":["conf:4","velocity","win:mid","comp:brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/rbc-manager-data-and-analytics-engineer","json_url":"https://alion.io/job/rbc-manager-data-and-analytics-engineer.json","meta":{"generated_at":"2026-09-29T02:22:21Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2077,"day_limit":5000,"remaining_today":2923,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}