
Valtech · Canada - Remote
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a v...
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we
offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. At
Valtech, we are helping global organizations transform how they operate through Data, AI, and emerging Agentic systems. As an AI
Platform Engineer, you will lead multidisciplinary teams building AI-powered applications, intelligent workflows, copilots, and
agent-based solutions that create measurable business impact.
Please note, we are only accepting applicants from the provinces of Ontario and Québec for this role. For Québec-based candidates,
fluency in English is necessary because the position entails collaboration with teams based in the rest of the Americas and
occasionally in Europe.
testing, observability, and evaluation.
stakeholders.
If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we
recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.
We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about
building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background,
you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.
This is a full-time position based in Montreal and Toronto. The offered salary range is $95,000 to $130,000 annually, depending on
experience and location.
Valtech offers a comprehensive benefits package effective after three months of continuous service:
employer may contribute up to 80% of your coverage depending on the selected module. This plan includes short- and long-term
disability coverage.
emergencies, prescription renewals, and more. You also have access to the Employee and Family Assistance Program, as well as a
complete mental health support program.
office supplies, or contributions to your RRSP through Valtech.
a maximum of 4%. You can start contributing to your RRSP immediately, and to the DPSP after 3 months. The vesting of the DPSP
will be after a 24 months of service.
probation period and a prorated amount calculated for the remainder of the year.
afternoons—provided your weekly hours are completed.
Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll
reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require
information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills,
experience, and potential.
⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.
We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either
indicate it in your application or let your Talent Partner know.
Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts,
categories, and cultures, we help brands unlock new value in an increasingly digital world.
At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal,
Mars, Audi, P&G, Volkswagen Dolby, and more.
At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a
workplace where everyone has the support to thrive, grow and innovate.
Are you ready to create what’s next? Join us.
Vill du vara med och forma framtidens hållbara logistik? Som erfaren Data engineer inom Green Cargo får du en nyckelroll i att säkerställa effektiva och innovativa lösningar som håller Sveriges godstransporter rullande. Här får du möjlighet att kombinera teknik, samarbete och strategiskt tänkande i en verksamhet som gör skillnad. Om rollen Du kommer vara en viktig del av vårt agila team som utvecklar och förvaltar Green Cargos analyticsplattform som baseras på primärt Microsoft Azure teknologi. Analytics teamet är spindeln i nätet när det kommer till datainsamling och datahantering. Ditt uppdrag kommer att innebära samarbeten med andra utvecklingsteam samt verksamhetsfunktioner för att förstå behovet. Vi erbjuder Arbeta i en innovativ och transformativ IT-miljö med modern teknik Vara del av ett agilt team med stark kompetens inom analytics Delta i internationella projekt med fokus på datadrivna lösningar Flexibla arbetsformer och goda möjligheter till kompetensutveckling Samarbete med engagerade kollegor som vill göra skillnad BI-utveckling i modern molnmiljö (Azure) Datamodellering och databasutveckling Kravanalys av komplexa dataflöden Utveckling och vidareförädling av dataprodukter Vi söker dig som 3-5 års erfarenhet av Data Engineering och/eller BI-utveckling Erfarenhet av Datamodellering (t ex Kimball eller liknande) Erfarenhet av att jobba med Databricks Erfarenhet av SQL Har en eftergymnasial utbildning inom Systemvetenskap eller liknande Talar och skriver obehindrat på svenska och engelska då arbetsuppgifter kräver det Meriterande Erfarenhet av agila arbetssätt. Erfarenhet av att arbeta med Microsoft molnplattform eller Google Cloud Plattform Erfarenhet av dataintegrationer Övrig information Anställningen är en tillsvidareanställning på heltid med inledande provanställning. Tillträde sker enligt överenskommelse och tjänsten är placerad vid vårt huvudkontor i Stockholm. Som anställd på Green Cargo erbjuds du bland annat: Friskvård kr 3000 kr/år Benify förmånsportal Frivillig gruppförsäkring via Skandia för dig och din familj Ersättning för Läkarvård inom högkostnadsskyddet Föräldralöneutfyllnad (10%) På Green Cargo får du möjlighet att bidra och utveckla hållbar järnvägslogistik och samtidigt förbättra kundupplevelsen. Du blir en del av ett miljömedvetet företag som stöttar svenskt näringsliv och industri. Som Data Engineer erbjuds du en bred roll med stort utrymme att påverka och tänka nytt. Vi satsar på din utveckling och erbjuder goda möjligheter till både kompetens- och karriärutveckling i en organisation där trivsel och stolthet står i fokus. Rekryteringsprocessen Slutkandidater genomgår en bakgrundskontroll. Vi är en drog- och alkoholfri arbetsplats där slumpmässiga kontroller förekommer. Med anställning följer en skyldighet att krigsplaceras. Mångfald och inkludering Green Cargos medarbetare är nyckeln till att vi ska kunna nå bolagets vision om järnvägslogistik i världsklass och det är medarbetarnas kompetens och ambition som driver bolagets framgång. Vi ser att olikheter bland våra medarbetare stärker vår konkurrenskraft och bidrar till vår affär och vår utveckling. Vi vill därför ha en arbetsplats präglad av mångfald och välkomnar sökanden med olika typer av kompetenser, personligheter, bakgrunder, erfarenheter och perspektiv. Varmt välkommen med din ansökan!
Soho, London Hybrid working: 3 days in the office Tues - Thurs The Role We are seeking a Data Engineer to join our Data Team, playing a vital part in building the complex, scalable systems that power our data strategy. You will contribute to architectural discussions and deliver high-quality data solutions that bring millions of fans closer to the sports they love. This is a fantastic opportunity to develop your expertise in optimising data platforms for real-time AI/ML workloads, collaborate with experienced engineers, and make a significant impact on our business. At LiveScore Group, we’re the proud home of three of the most exciting brands in the sports and gaming world: LiveScore, LiveScore Bet and Virgin Bet. A fully owned and operated ecosystem that converges the two worlds of sports media and sports betting. We’re proud of the high ratings for our commitment to excellence and fueling fan’s passion for sport driving us to the top. We don’t just lead; we innovate. Our cutting-edge products and immersive experiences set the standard, but it’s our people who truly make the difference. Every day, our team embody our values: adaptability, teamwork, a fan-driven approach, and an ever-curious mindset that fuels our ambition. As we scale and continue to create a culture that allows all employees to thrive, we know we need the most talented people with diverse backgrounds, perspectives and skills. If you’re good at what you do, come and join us. The more inclusive we are, the more amazing experiences we can create for our users. We know that job descriptions can sometimes seem daunting, and you might not feel you tick every box. But, if you’re passionate about the role and have relevant experience, we want to hear from you! Key Responsibilities * Develop and deploy robust data pipelines using GCP services such as BigQuery, Dataflow, Pub/Sub and Cloud Storage. This includes integrating data from various sources, ensuring data quality and enabling real-time processing capabilities. * Design data models and manage databases effectively to support business analytics and intelligence using dimensional data-modelling principles. Use GCP database technologies such as Bigtable, Spanner or Firestore to optimise performance and scalability. * Automate data workflows and optimise data storage and processing costs within GCP. Use tools such as Cloud Composer for orchestration and apply best practices in performance tuning. * Ensure data security by implementing GCP security practices. Manage access controls, comply with data-governance policies and safeguard sensitive information. * Work closely with data engineers, business analysts, and IT teams to define data requirements and deliver comprehensive data solutions. * Stay up to date with the latest GCP features and data-engineering technologies. Explore ways to enhance data infrastructure and contribute to the development of new data products. * Provide second-line support for pipeline failures or data quality incidents and perform fault analysis to resolve issues. * Contribute to system-design decisions and help develop data solutions that support real-time workloads. * Partner with cross-functional teams to translate business needs into effective data solutions. * Design data systems that solve problems and improve reliability & cost-effectiveness. * Develop and maintain robust, secure integrations with core internal systems and third-party platforms. * Implement monitoring and alerting to ensure high system reliability and minimal downtime. Skills, Knowledge and Experience * Experience in data engineering or data warehousing with large-scale, complex datasets. * Experience writing complex SQL queries. * Experience with Python or a similar programming language, with the ability to turn business requirements into working solutions. * Experience with cloud data services and technologies, ideally within the GCP ecosystem, such as Dataflow, Pub/Sub, BigQuery or Vertex AI. * Experience with Airflow environment management and Docker. * An interest in contributing to the AI roadmap and experimenting with AI tooling, including coding agents, within the development lifecycle. * The ability to explain technical concepts clearly and concisely to technical and non-technical stakeholders. * Experience developing and optimising real-time and large-scale batch data-processing frameworks. * Experience deploying and maintaining data infrastructure using Infrastructure as Code principles and tools such as Terraform. * An understanding of data-governance, privacy and security best practices in a regulated environment. * A proactive and curious approach to identifying and resolving system inefficiencies. * The ability to work effectively with cross-functional teams and translate requirements into robust data solutions. * A strong sense of responsibility for the quality, reliability and performance of the data solutions you help create. What can we offer? * Company Performance Bonus * Flexible Working Agreements where applicable * Private Healthcare Scheme + Employee Enhanced Assistance * Enhanced Family Leave - Maternity, Shared Parental & Adoption Leave: up to 6 months at full pay and 6 months at half pay. Paternity leave: up to 4 weeks at full pay * Subsidised Gym Membership * Annual Travel Card Loan & Ride to Work Scheme * Life Assurance (x3 salary) * Contributory Pension Plan * Virgin Family: Giving you access to exclusive Virgin offers and experiences * Thursday drinks in the office and regular socials
What you’ll do Own the global UW tables (canonical facts/dimensions for applications, decisions, features, repayments, delinquency) with clear SLAs for freshness, completeness, accuracy, and data lineage. Design for AI-agents and humans: consistent IDs, canonical events, explicit metric definitions, rich metadata (schemas, data dictionaries), and machine-readable data contracts. Build & run pipelines (batch + streaming) that feed UW scoring, real-time decisioning, monitoring, and underwriting optimization. Instrument quality & observability (alerts, audits, reconciliation, backfills) and drive incident/root-cause reviews. Partner closely with Credit Portfolio Management, Policy teams, Modeling teams, and treasury and finance teams to land features for RUE and consumer-centric models, plus regulatory and management reporting. Tech stack (what we use) Languages: SQL, PySpark, Python Frameworks: Apache Airflow, AWS Glue, Kafka, Redshift Cloud & DevOps: AWS (S3, Lambda, CloudWatch, SNS/SQS, Kinesis), Terraform; Git; CI/CD What you’ll bring Proven ownership of mission-critical data products (batch + streaming). Data modeling, schema evolution, data contracts, and strong observability chops. Familiarity with AI/agent patterns (agent-friendly schemas/endpoints, embeddings/vector search).