Turn on your human firewall!
Senior Analytics Engineer
Location
United Kingdom
Posted
39 days ago
Salary
0
Seniority
Senior
Job Description
Senior Analytics Engineer
SoSafe
• Own the transformation layer in dbt- design, build, and maintain modular, well-tested data models that define how data is structured and consumed across the company. • Define and implement core business metrics (e.g. activation, engagement, retention) as reusable, versioned data assets- ensuring consistent definitions across analytics, product, and AI use cases. • Model complex SaaS data by integrating product events, CRM (Salesforce), and support data into clean, well-defined fact and dimension models. • Build and evolve our semantic layer- creating a reliable abstraction over our data that enables consistent KPI definitions and supports downstream consumers, including LLM-based analytics agents. • Collaborate with Data Engineers on upstream data contracts and event schemas- ensuring raw data is structured in a way that supports scalable, reliable analytics. • Establish and enforce best practices in testing, documentation, and data quality- making these part of the standard development lifecycle. • Document models, metrics, and lineage clearly- enabling self-service and reducing ambiguity across teams.
Job Requirements
- 5+ years in analytics engineering or data engineering with a strong focus on data modeling
- Strong proficiency in dbt and SQL- building modular, well-tested models
- Solid understanding of dimensional modeling and metric design
- Experience working with cloud data warehouses (BigQuery, Snowflake, or Redshift)
- Experience with metrics / semantic layers (e.g. dbt metrics, MetricFlow, Cube)
- Strong data quality mindset (testing, validation, monitoring)
- Comfortable working with event-based data and cross-functional teams
- Able to turn ambiguous business questions into clear data models
- Strong business acumen with the ability to challenge metric definitions and ensure they reflect real business outcomes
- Fluent in English.
Benefits
- Work/Life balance: Flexible hours, 33 vacation days
- Wellbeing and financial support: Access to Open Up, corporate discounts
- Connection & community: Virtual events, collaborative team activities, and opportunities for local meet-ups
- And the list goes on: Tech equipment, referral bonuses, dog-friendly HQ
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• Design, develop, and maintain production-quality dbt models with a focus on performance, readability, and long-term maintainability • Translate business requirements into clean, well-documented data models that analysts and downstream consumers can rely on, including ownership of code reviews and our semantic and metrics layers • Collaborate with Data Engineering on ingestion pipelines, Fivetran and Streamkap connectors, and architecture decisions upstream of modeling, with a practical understanding of Snowflake performance and warehouse costs • Support a dbt contributor base that extends beyond the analytics engineering team, keeping Data Team contributors unblocked and helping them grow their skills • Contribute to the data foundation behind Loop Intelligence, including merchant outcome measurement and shopper-level cohort analyses • Apply data operations fundamentals across your work: Gitlab, CI/CD, automated testing, and documentation that make our data assets easier to discover and use • Use AI tools actively in your workflow and help the team develop shared norms around where and how they add real value
Analytics Engineer
Lightspeed CommerceLightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. Founded in 2005, in Montreal’s gay village, our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries.
Join Lightspeed's fast-growing Financial Services division as a talented and passionate Analytics Engineer on our FS Data team. In this key role, you'll be instrumental in overseeing all analytic and reporting needs, contributing directly to the success of every domain within Financial Services. If you have worked on data pipelines, have great communication skills, are familiar with data modeling and have helped teams to gather both predictive and historical insights, you might be a great fit for this role! This role also involves collaborating with multiple functions across Lightspeed, including Application Engineering, Product, Operations, Risk and Finance among others. For this role, you should be located in Canada, and able to work within EST/EDT hours. We offer a choice of fully remote, partially remote or fully office-based work environments (in cities with local offices). What you’ll be responsible for: - Cleanse and transform raw data into business logic to help stakeholders build reports and data models - Analyze raw data and suggest data sources that best meet expressed business needs - Ensure the right data gets to the right people at the right time - Collaborate with the Central Data Team to build data pipelines in accordance with shared best practices and design, and feed data models for usage - Act as a champion for data quality and usability across the Financial Services organization - Ensure availability, quality and searchability of data and documentation - Write, clean and maintainable queries and scripts that are highly performing, well-structured and easy to understand and extend using version control and CI/CD - Automate testing of data models and add appropriate validations to ensure quality - Help define and improve our internal standards for data models and infrastructure - Ability to explain intermediate to complex information to other team members - Ability to maintain or develop simple report or dashboard in Looker What you will bring to the team: - Experience with SQL and Python coding (or equivalent language) - Experience with MPP data warehouse (we use BigQuery) - Experience with dbt or dataform - Experience in performing data profiling, data mapping and data quality validation - Experience with data orchestrator - Understanding of industry standards for data warehousing and data modelling - Knowledge of data environments (we use GCP) as well as containerization solutions - Experience in source control, CI/CD and automated testing - A security mindset with the ability to work with compliance protocols (SOX, GDPR) - Excellent communication skills and ability to communicate with technical and non-technical stakeholders - Excellent problem-solving skills - Ability to work independently and in teams - Self-motivated and great at taking initiative Some additional things that would be a bonus: - Experience in the Payments or Financial Services domain - Experience in working with SaaS solutions - Solid knowledge of cloud services (AWS and GCP in particular) Please NOTE: As a global company with employees and clients outside of Quebec, fluency in English as a working language is required for this position. What’s in it for you: Be a changemaker You’ll enjoy: - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities Plus benefits designed to keep you happy, healthy and fulfilled. - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee-led networks, social committees to sponsored sports teams - Computer purchase program to get your personal MacBook - Enhanced parental leave to support growing families - Lightspeed equity scheme (we are all owners) - Unlimited paid time off policy - People Experience - Our PX benefit allows you to work from pretty much anywhere in the world for 60 days a year - Health insurance: Immediate access to health, dental, vision, and life insurance for you and your eligible dependents. - Employer RRSP contribution of up to 4% of base salary to a maximum of $5,000 - Health and wellness benefit of $500 per year - Employee Technology Purchase Program: Ability to an interest-free loan to purchase certain Apple products - LinkedIn Learning: At Lightspeed, we believe in having a growth mindset, we provide free access to LinkedIn learning along with your career GPS to help you learn & grow - Paid leave and assistance for new parents - Mental health online platform and counselling & coaching services - Volunteer day - We got you covered! A variety of snacks, coffee, and teas are always accessible and available in the office kitchen - Tuesday: Pancakes, Wednesday: Lunch is served, and Thursday is Happy Hour with a variety of drinks and snacks. Fuel your growth. Find your people. At Lightspeed, your growth is our priority. We invest in you with continuous learning opportunities, global mobility and benefits designed to support you—all within a driven, diverse and inclusive team that’s passionate about empowering our communities. To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. Where to from here? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. Who we are: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. Lightspeed handles your information in accordance with our Applicant Privacy Statement.
• Build and maintain the presentation layer to provide aggregated, clean, and trustworthy data to the rest of the company. • Constantly seeking ways to improve our data infrastructure. • Provide self-service and training to the rest of the company and bring data accessibility to a new level.
Senior Analytics Engineer
BrillioTurning technological disruptions into the advantages. Let's create something Brillian(t) together!
• Architect the Business Insights Foundation • Partner with data engineers to design, build, and maintain analytics transformation layers that act as a single source of truth for downstream reporting, BI, and data science use cases. • Deliver Business Facing Insights • Own the complete analytics lifecycle—from requirements gathering and data modeling to scalable dashboards and self service analytics solutions. • Stakeholder Collaboration • Serve as the technical analytics partner to business stakeholders, translating functional and strategic needs into automated, scalable data solutions. • Data Storytelling • Develop compelling dashboards, metrics, and analytical narratives that communicate insights effectively to both technical and non technical audiences. • Build for Scale & Reusability • Design standardized, reusable business metrics and data models that support automated reporting and enable deep dive self service analysis. • Apply Engineering Best Practices • Improve analytics infrastructure using software engineering principles such as version control, modular design, testing, documentation, and performance optimization.




