Let's start with the role

As a Senior Data Scientist, you will be at the forefront of our AI developments,  analyzing data, building machine learning models to support our AI products and working along with the rest of the tech team to create successful AI products. The ideal candidate will have a deep understanding of machine learning algorithms and proven extensive experience in building  ML/AI powered applications in production.

As a Senior Data Scientist you will:

• Translate product requirements to machine learning problems and  identifying areas where AI can have the most business impact;
• Analyze data to identify significant patterns and generate actionable insights;
• Perform exploratory data analysis EDA and feature engineering to support the modeling process;
• Apply best practices on model selection, parameter tuning etc.;
• Run comparative experiments for model training;
• Analyze ML metrics to evaluate different potential solutions;
• Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production environments;
• Mentor and guide junior members, sharing knowledge and leading complex projects. 

What you’ll bring:

Must have:

• Expert knowledge of machine learning algorithm and respective theory;
• Extensive hands-on experience in delivering machine learning models to production;
• Experience in developing MLOps solutions;
• Knowledge of the Python machine learning ecosystem and solid software background in OOP;
• Knowledge of Deep learning;
• Strong skills in teamwork, communication, and analytical thinking;
• Fluency in English, both oral and written.

Nice to have:

• Experience with Big Data tools (Spark/PySpark) and cloud environment, ideally Azure / Databricks;
• Experience in recommendation systems;
• Experience in GenAI application development;
• Relevant industry experience i.e. Fraud detection, CRM, Sportsbook etc.

Kaizen Gaming Perks

• 🕑 Hybrid way of working & remote options
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay and bonus scheme
• 👩‍⚕️ Private health insurance for you and your family
• 💰 Monthly meal allowance 
• ⭐Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training

#LI-Remote

Bridgeway is seeking a Senior Data Engineer to design, develop, and maintain our data warehouse infrastructure. This role involves working closely with analysts, engineers, and other stakeholders to shape our data architecture, ensuring secure and efficient data pipelines, and enabling advanced analytics across the organization. The ideal candidate will have a strong background in data engineering, data warehousing, and ELT processes, along with a passion for optimizing data systems.

This is a remote position, with preference given to East Coast candidates.

Key Responsibilities:

• Design, develop, and maintain a scalable data warehouse/lakehouse environment.
• Design and implement ELT pipelines to ingest, transform, and deliver high-quality data for analytics and reporting, incorporating current best practices, such as “pipelines as code”.
• Ensure data security and compliance, including role-based access controls for security, encryption, masking, and governance best practices to ensure compliant handling of sensitive information.
• Optimize performance of data workflows and storage for cost efficiency and speed.
• Partner with engineers, analysts, and stakeholders to meet data needs; balance cost, performance, simplicity, and time-to-value while mentoring teams and documenting standards.
• Define and implement robust testing frameworks, enforce data contracts, and establish observability practices including lineage tracking, SLAs/SLOs, and incident response runbooks to maintain data integrity and trustworthiness.
• Monitor, troubleshoot, and resolve data & automation issues.
• Collaborate within an Agile-Scrum framework and develop comprehensive technical design documentation to ensure efficient and successful delivery.
• Serve as a trusted expert on organizational data domains, processes, and best practices.

Requirements:

• 5+ years of experience in data engineering and ELT with a focus on large-scale data platforms
• 3+ years of experience with Databricks
• Advanced proficiency in analytical SQL, including ANSI SQL, T-SQL, and Spark SQL
• Strong Python skills for data engineering
• Expertise in data modeling
• Hands-on experience with data quality and observability practices (tests, contracts, lineage tracking, alerts)
• Practical knowledge of orchestration tools and CI/CD concepts for data workflows
• Excellent communication and a track record of technical leadership and mentoring
• Strong understanding of integrating data solutions with AI and machine learning models
• Strong problem-solving skills and attention to detail.
• Experience with version control systems like Git preferred
• Strong understanding of data governance and best practices in data management, with hands-on experience using Unity Catalog
• Hands-on experience in designing and managing data pipelines using Delta Live Tables (DLT) on Databricks
• Streaming and ingestion tools, such as Kafka, Kinesis, Event Hubs, Debezium, or Fivetran
• DAX, LookML, dbt; Airflow/Dagster/Prefect, Terraform; Azure DevOps; Power BI/Looker/Tableau; GitHub CoPilot knowledge is a plus
• Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree preferred

We’re looking for a Senior Systems Analyst to lead complex data migration efforts for our customers. In this role, you’ll own the end-to-end migration lifecycle – working directly with customers to analyze, map, transform, and validate data as it moves from legacy systems into Bridgeway’s platform. 

This is a hands-on, customer-facing role for someone who is comfortable solving problems in real time and driving migrations to a successful go-live. 

Responsibilities: 

• Lead full-cycle data migrations across multiple customer projects (discovery → mapping → transformation → validation → go-live)
• Act as the primary technical contact for customers, guiding data strategy, surfacing risks, and managing expectations
• Collaborate with Business Analysts and other Professional Services teams to understand data requirements, provide data analyses to assist with the configuration of our software, and accurately map data to meet customer needs
• Analyze and validate large, complex datasets using advanced SQL
• Build and execute ETL/ELT processes (SSIS, Talend, Informatica, or similar)
• Develop data mapping logic, transformation rules, and validation strategies
• Identify and resolve data quality issues through profiling, cleansing, and root cause analysis
• Work across file formats (CSV, Excel) to support data exchange
• Plan and execute cutover activities, including go-live coordination and validation sign-off
• Partner with internal teams to troubleshoot issues and ensure accurate data delivery
• Mentor junior team members and contribute to improving migration processes and standards 

Requirements: 

• 5+ years of experience in data migration, warehousing, systems analysis, or ETL-focused roles
• Bachelor’s degree in Computer Science or a related field
• Advanced SQL or Python skills (complex queries, joins, performance tuning)
• Hands-on experience with ETL/ELT tools (SSIS preferred)
• Experience with scripting (Python or PowerShell) for automation
• Proven ability to manage multiple migrations at once without dropping the ball
• Strong customer-facing communication skills—you can explain technical issues without hiding behind jargon
• Use and understanding of data dictionaries, source to target mapping, and relational database concepts required
• High attention to detail and a problem-solving mindset
• Exposure to AI for data analysis, validation, or development a plus
• Databricks, Snowflake or similar a plus 

Bridgeway is an equal opportunity employer.

Nosso Modo de Fazer no Time:

Transforme sua carreira com o iFood! Somos uma empresa brasileira de tecnologia referência na América Latina. Por meio de soluções inovadoras, conectamos milhares de restaurantes a milhões de consumidores diariamente com uma média de 100 milhões de pedidos mensais. Além do delivery de comida, também somos Mercado, Farmácia e Pet. Temos também o iFood Pago, nossa Fintech, que engloba o iFood Benefícios, o vale alimentação e refeição do iFood e o próprio iFood Pago, o banco do restaurante. Junte-se a nós e faça parte de uma equipe que está sempre à frente com tecnologia de ponta e inovação constante.

Seu Cardápio Diário:

• Colaborar com membros da equipe para coletar requisitos de negócio e projetar modelos de dados.

• Construir confiança em todas as interações e fornecer os dados mais completos, confiáveis e precisos para a empresa.
• Projetar, desenvolver e estender código ETL e pipelines de dados para expandir o Data Lake Empresarial.
• Criar e manter documentação de arquitetura e sistemas.
• Manter conjuntos de dados principais ou produtos de dados atualizados no Catálogo de Dados para apoiar análises de Self-Service e Fonte Única da Verdade.
• Desenvolver código que atenda aos nossos padrões internos de estilo, manutenibilidade e melhores práticas para um ambiente de dados de alta escala. Manter e defender esses padrões através de revisão de código.
• Aprovar mudanças em modelos de dados como Revisor da Equipe de Dados e ser responsável por conjuntos de dados específicos e esquemas de modelos de dados.
• Compartilhar expertise em modelagem e transformação de dados para todas as equipes do iFood através de revisões de código, pareamento e treinamento para ajudar a entregar designs e consultas otimizados e escaláveis de conjuntos de dados ou produtos de dados no Databricks. 

Ingredientes Que Buscamos:

• Disposição para aprender coisas novas todos os dias.
• Habilidade com SQL, Python e Spark.
• Excelente comunicação: Alcançar consenso regularmente entre equipes técnicas e de negócio.
• Capacidade demonstrada de comunicar de forma clara e concisa atividades complexas de negócio, requisitos técnicos e recomendações.
• 2+ anos na área de Dados como analista, engenheiro ou equivalente.
• 2+ anos de experiência projetando, implementando, operando e estendendo modelos de dados empresariais (dimensionais ou não).
• 2+ anos trabalhando com Banco de Dados ou Data Warehouse de grande escala, preferencialmente em ambiente de nuvem.
• Inglês técnico.
• Desejável: Experiência com Databricks, Airflow e AWS.

Para Realçar o Sabor:

• Experiência prática em inteligência artificial.
• Habilidade para gerar indicadores mensuráveis e identificar mudanças necessárias.
• Capacidade de se adaptar rapidamente a novas tecnologias e desafios.
• Interesse em promover a cultura de colaboração e troca de conhecimentos.

Buscamos uma pessoa apaixonada por tecnologia e dados, que esteja sempre em busca de novos aprendizados e que goste de desafios. Se você se identifica com este perfil, adoraríamos conhecer você!

Overview

The centralized Data and Analytics team at Recharge delivers critical analytic capabilities and insights for Recharge’s business and customers. 

As a Senior Data Engineer, you will build scalable data pipelines and infrastructure that power internal business analytics and customer-facing data products.  Your work will empower data analysts to derive deeper strategic insights from our data, and will  enable developers to build applications that surface data insights directly to our merchants. 

What you’ll do

• Build data pipeline, ELT and infrastructure solutions to power internal data analytics/science and external, customer-facing data products.
• Create automated monitoring, auditing and alerting processes that ensure data quality and consistency.
• Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
• Design, develop, implement, and optimize existing ETL processes that merge data from disparate sources for consumption by data analysts, business owners, and customers
• Seek ways to continually improve the operations, monitoring and performance of the data warehouse
• Influence and communicate with all levels of stakeholders including analysts, developers, business users, and executives.
• Redesign and optimize existing data processes using AI (e.g., LLM-assisted development, automated documentation, issue resolution) to improve team productivity and enhance data quality across the data warehouse
• Live by and champion our values: #day-one, #ownership, #empathy, #humility.

What you’ll bring

• Typically, 5+ years experience in a data engineering related role (Data Engineer, Data Platform Engineer, Analytics Engineer etc) with a track record of building scalable data pipeline, transformation, and platform solutions. 
• 3+ years of hands-on experience designing and building data pipelines and models  to ingesting, transforming and delivery of large amounts of data, from multiple sources into a Dimensional (Star Schema) Data Warehouse, Data Lake.
• Experience with a variety of data warehouse, data lake and enterprise data management platforms (Snowflake {preferred}, Redshift, databricks, MySQL, Postgres, Oracle,  RDS, AWS, GCP)
• Experience building data pipelines, models and infrastructure powering external, customer-facing (in addition to internal business facing) analytics applications.
• Solid grasp to data warehousing methodologies like Kimball and Inmon
• Experience working with a variety of ETL tools. (FiveTran, dbt, Python etc)
• Experience with workflow orchestration management engines such as Airflow & Cloud Composer
• Hands on experience with Data Infra tools like Kubernetes, Docker
• Expert proficiency in SQL
• Strong Python proficiency

Interview recording & AI notetakers
To protect privacy, legal compliance, and interviewer/candidate experience, recording, transcribing, or using AI notetaker tools during interviews is not permitted without our prior written consent. Handwritten notes are welcome. If you need an accommodation (e.g., captions), email recruiting@getrecharge.com before your interview—we’ll arrange an approved solution.

Compensation 

Recharge’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. Salary ranges are designed to be competitive and aligned with country specific practices, while individual compensation is determined by skills, qualifications, and experience. The compensation listed is not inclusive of any equity and benefits that might exist in your total compensation package.

• Hiring range in the US
  $148,000 USD - $185,000 USD
• Hiring range in Canada
  $108,000 CAD - $136,000 CAD

Application window anticipated to close: 6/1/2025. If you’re interested in this opportunity, please submit an application as soon as possible.

Overview 

Velir x Brooklyn Data is seeking a Director of Data & AI Alliances to build and scale strategic partnerships across the modern data and AI ecosystem. This role will drive joint go-to-market initiatives, co-sell motions, and revenue growth with leading data platform providers. 

As a data and AI-led digital agency, Velir x Brooklyn Data partners with organizations to unify data, activate AI, and deliver intelligent digital experiences. This role will be responsible for strengthening Velir x Brooklyn Data's position within the data ecosystem and translating partner relationships into meaningful pipeline and revenue. 

The ideal candidate is both strategic and commercially driven, with deep experience building alliances with leading data, analytics, and AI platforms.

Responsibilities

Strategic Alliance Development 

• Build and manage Velir x Brooklyn Data’s strategic partnerships with leading data and AI platform providers, including Snowflake, Databricks, Domo, and dbt. 
• Identify and develop new alliance opportunities within the modern data stack ecosystem. 
• Strengthen Velir x Brooklyn Data’s positioning as a preferred services partner within partner ecosystems. 
• Identify and pursue “first-to-market” opportunities, including early adoption of new partner features, products, or capabilities. 

Revenue and Pipeline Generation 

• Develop and execute joint go-to-market strategies that generate pipeline and new business opportunities. 
• Work closely with Velir x Brooklyn Data’s sales and growth teams to support co-selling initiatives and partner-led opportunities. 
• Proactively track and register opportunities to ensure the organization receives appropriate credit for sourced opportunities and client consumption growth. 

Partner Relationship Management 

• Serve as the primary Velir x Brooklyn Data liaison with key partner executives and alliance leaders. 
• Establish and nurture executive relationships across partner organizations. 
• Maintain strong collaboration between Velir’s sales, marketing, and delivery teams and partner counterparts. 

Partner Event & Ecosystem Strategy 

• Lead Velir x Brooklyn Data’s strategy and execution for data and AI partner conferences, summits, and ecosystem events. 
• Identify and prioritize the most impactful partner events including Snowflake Summit, Databricks Data + AI Summit, Domo Palooza, and dbt Coalesce. 
• Develop pre-event go-to-market strategies to drive pipeline generation, partner alignment, and client engagement. 
• Coordinate internal preparation across sales, marketing, and delivery teams to ensure Velir x Brooklyn Data is positioned effectively throughout event preparation, execution, and follow up 
• Oversee execution of Velir x Brooklyn Data’s presence at partner events including executive meetings, speaking opportunities, joint marketing initiatives, and partner engagement activities. 
• Ensure strong post-event follow-up and pipeline conversion from meetings, leads, and partner introductions generated at these events. 

Joint Marketing & Market Positioning 

• Identify opportunities to showcase Velir x Brooklyn Data’s expertise in data, AI, and modern digital experience transformation. 
• Drive the development of early case studies and success stories that support partner adoption and strengthen market positioning. 
• Maintain visibility into partner product and feature roadmaps to proactively identify opportunities for early testing, case studies, and joint go-to-market efforts 

Enablement & Internal Alignment 

• Ensure teams are enabled on partner technologies and value propositions. 
• Align internal stakeholders on partner priorities and initiatives. 
• Support joint solution development and partner-aligned service offerings

Qualifications

Required Experience 

• 7+ years of experience in technology alliances, partnerships, or ecosystem leadership 
• Experience working with data platforms, analytics, or AI technology ecosystems 
• Proven success driving partner-sourced or partner-influenced revenue 
• Experience building joint GTM strategies and co-sell motions 

Preferred Experience 

• Background in data platforms, analytics, AI, or digital transformation services 
• Experience working with platforms including, but not limited to: 
  • Snowflake 
  • Databricks 
  • Domo 
  • dbt 
• Experience working in consulting, agency, or professional services environments 

Skills & Attributes

• Strategic partnership development 
• Executive relationship building 
• Revenue-focused alliance management 
• Strong communication and storytelling 
• Deep understanding of the modern data stack 
• Demonstrated curiosity about emerging data technologies. 
• Ability to work cross-functionally with sales, marketing, and delivery teams 

Physical Requirements 

• Frequent sitting at a desk performing work on a computer. 
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 
• Travel will be required  

Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role.

About the Role 

We’re looking for a highly motivated, analytical Sales Operations Specialist to join our growing team. This role sits within Revenue Operations and partners closely with Sales, Sales Enablement, Marketing, IT, Finance, and Customer Experience to improve operational efficiency, strengthen data integrity, and scale our revenue systems. You’ll be a hands-on Salesforce power user/admin who also loves connecting systems, improving processes, and applying automation/AI to help teams sell smarter. 

This is an ideal role for someone who is detail-oriented, curious, and eager to build best-in-class workflows and reporting across a modern GTM tech stack. 

What You’ll Do  

Lead CRM Data Hygiene & Governance 

• Drive ongoing data hygiene efforts including de-duplication, enrichment, lifecycle management, and compliance. 
• Establish and maintain data standards, field definitions, and operational guardrails in partnership with cross-functional teams. 
• Ensure pricing, products, and contract-related records are accurate and accessible for leadership. 

Drive CRM, Automation, and AI Improvements that Move the Needle 

• Support Salesforce workflows, automations, and user experiences that increase seller productivity and data quality. 
• Identify high-impact opportunities for AI-enabled enhancements (e.g., routing, enrichment, activity capture, pipeline hygiene, forecasting support). 
• Partner with stakeholders to translate business needs into scalable system solutions. 
• Support integration troubleshooting, monitoring, and documentation to ensure reliable data flow and clean handoffs between systems. 

Build Reporting, Insights, and Operational Confidence 

• Create and enhance Salesforce reports and dashboards to support pipeline visibility, activity tracking, funnel performance, and operational KPIs. 
• Support BI workflows and stakeholder reporting needs (e.g., Power BI). 
• Collaborate with data teams on data transformations/queries as needed (SQL-heavy environment). 

Project & Change Management + Enablement Partnership 

• Drive planning, prioritization, and delivery of RevOps system projects and enhancements. 
• Partner with Sales Enablement to monitor adoption, launch improvements, and deliver training and communications. 
• Build and maintain process documentation, tool training materials, and integration documentation. 
• Support user onboarding/offboarding across the revenue tech stack and maintain internal knowledge articles. 

Additional Revenue Operations Support 

• Maintain pricing and contract records in Salesforce and systems like LinkSquares (and/or DocuSign). 
• Perform other Revenue Operations and data-related tasks as needed.  

What You’ll Bring (Requirements) 

• 3+ years in a Revenue Operations / Sales Operations function with a focus on systems, process, and business operations. 
• Salesforce Administrator experience (3+ years) including configuration, customization, automations/flows, reports, dashboards, and security/access fundamentals. 
• 1 to 3 years of experience using AI tools (Clay, ChatGPT/Claude) to automate go to market tasks and build agentic workflows.
• Strong working knowledge of Salesforce Sales Cloud (bonus for Revenue Cloud and/or Service Cloud). 
• Strong working knowledge of SQL (comfort writing queries to validate, troubleshoot, and analyze GTM data). 
• Strong proficiency with Excel (advanced formulas, pivot tables, data visualization). 
• Experience supporting and/or owning system integrations (APIs, middleware concepts, data mapping, sync behavior, error handling). 
• Experience with BI and reporting tools such as Power BI (or equivalent). 
• Strong project management skills: scoping, prioritization, documentation, stakeholder alignment, and execution. 
• Excellent interpersonal and communication skills, able to explain technical concepts to non-technical stakeholders. 
• Ability to thrive in a fast-paced environment with multiple priorities and evolving requirements. 
• A builder mindset: curiosity, strong ownership, and a passion for learning new technologies.  

Preferred Qualifications (Nice-to-Have) 

• Experience with Databricks (or modern data platforms/warehouses). 
• Experience with SOQL tooling and admin accelerators (e.g., Salesforce Inspector, Workbench, AppExchange tools). 
• Familiarity with data enrichment and routing best practices.  

What Success Looks Like 

• Salesforce is trusted: cleaner data, fewer duplicates, consistent definitions, and better governance. 
• The revenue tech stack “just works”: integrations are stable, documented, and easy to troubleshoot. 
• Sellers and leaders have clear visibility: dashboards and reporting are adopted and actionable.