Join Exadel as a Senior/Lead Data Developer and bring logic to life. Solve analytical challenges and build solutions that matter - with a sharp, collaborative team.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

An international consulting firm that helps companies of all sizes have a better impact on the world. Company capabilities focus on supporting the private and public sectors with their people, processes, and digital technology challenges.

What You’ll Do

• Design, build, and maintain scalable data pipelines primarily within Google Cloud Platform
• Develop integration and transformation workflows between cloud data services and on-prem Oracle databases
• Work closely with trading, risk, and analytics teams to understand data requirements and deliver real-time and batch data solutions
• Optimise and monitor performance of data systems to support latency-sensitive trading applications
• Collaborate with cross-functional teams using Agile/Scrum methodologies to deliver business-critical data projects, provide technical assistance to the team 
• Ensure robust data governance, lineage, and compliance (including MiFID II, FCA, and other regulatory standards)
• Automate data workflows using Terraform, CI/CD pipelines, and containerisation tools (Docker/Kubernetes)

What You Bring

• Strong experience with Google Cloud Platform (BigQuery, DataPlex, DBT, Pub/Sub, Dataflow, Redshift)
• Expertise in Oracle SQL, PL/SQL, and working with complex stored procedures and large datasets
• Proficiency in programming languages such as Python, Java, or Scala
• Experience with streaming and messaging systems (e.g. Jenkins, GitLab), and container orchestration (Kubernetes)
• Experience working with Infrastructure as Code, preferably Terraform, to manage cloud data infrastructure.
• Deep understanding of data modelling, data warehousing, and ETL/ELT design patterns
• Demonstrated team leadership experience
• Familiarity with Agile development practices (Scrum, Kanban, Jira)
• Exposure to financial markets, trading systems, or related high-performance environments is a strong plus

Nice to have

• GCP certification (e.g., Professional Data Engineer or similar) will be considered a strong advantage
• Experience with Amazon Web Services (AWS)
• Knowledge of regulatory reporting, market data, or trade surveillance systems
• Experience with Apache Airflow or similar orchestration tools
• Understanding of data security practices and compliance frameworks

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Join Exadel as a Senior/Lead Data Developer and bring logic to life. Solve analytical challenges and build solutions that matter - with a sharp, collaborative team.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

An international consulting firm that helps companies of all sizes have a better impact on the world. Company capabilities focus on supporting the private and public sectors with their people, processes, and digital technology challenges.

What You’ll Do

• Design, build, and maintain scalable data pipelines primarily within Google Cloud Platform
• Develop integration and transformation workflows between cloud data services and on-prem Oracle databases
• Work closely with trading, risk, and analytics teams to understand data requirements and deliver real-time and batch data solutions
• Optimise and monitor performance of data systems to support latency-sensitive trading applications
• Collaborate with cross-functional teams using Agile/Scrum methodologies to deliver business-critical data projects, provide technical assistance to the team 
• Ensure robust data governance, lineage, and compliance (including MiFID II, FCA, and other regulatory standards)
• Automate data workflows using Terraform, CI/CD pipelines, and containerisation tools (Docker/Kubernetes)

What You Bring

• Strong experience with Google Cloud Platform (BigQuery, DataPlex, DBT, Pub/Sub, Dataflow, Redshift)
• Expertise in Oracle SQL, PL/SQL, and working with complex stored procedures and large datasets
• Proficiency in programming languages such as Python, Java, or Scala
• Experience with streaming and messaging systems (e.g. Jenkins, GitLab), and container orchestration (Kubernetes)
• Experience working with Infrastructure as Code, preferably Terraform, to manage cloud data infrastructure.
• Deep understanding of data modelling, data warehousing, and ETL/ELT design patterns
• Demonstrated team leadership experience
• Familiarity with Agile development practices (Scrum, Kanban, Jira)
• Exposure to financial markets, trading systems, or related high-performance environments is a strong plus

Nice to have

• GCP certification (e.g., Professional Data Engineer or similar) will be considered a strong advantage
• Experience with Amazon Web Services (AWS)
• Knowledge of regulatory reporting, market data, or trade surveillance systems
• Experience with Apache Airflow or similar orchestration tools
• Understanding of data security practices and compliance frameworks

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Join Exadel as a Senior/Lead Data Developer and bring logic to life. Solve analytical challenges and build solutions that matter - with a sharp, collaborative team.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

An international consulting firm that helps companies of all sizes have a better impact on the world. Company capabilities focus on supporting the private and public sectors with their people, processes, and digital technology challenges.

What You’ll Do

• Design, build, and maintain scalable data pipelines primarily within Google Cloud Platform
• Develop integration and transformation workflows between cloud data services and on-prem Oracle databases
• Work closely with trading, risk, and analytics teams to understand data requirements and deliver real-time and batch data solutions
• Optimise and monitor performance of data systems to support latency-sensitive trading applications
• Collaborate with cross-functional teams using Agile/Scrum methodologies to deliver business-critical data projects, provide technical assistance to the team 
• Ensure robust data governance, lineage, and compliance (including MiFID II, FCA, and other regulatory standards)
• Automate data workflows using Terraform, CI/CD pipelines, and containerisation tools (Docker/Kubernetes)

What You Bring

• Strong experience with Google Cloud Platform (BigQuery, DataPlex, DBT, Pub/Sub, Dataflow, Redshift)
• Expertise in Oracle SQL, PL/SQL, and working with complex stored procedures and large datasets
• Proficiency in programming languages such as Python, Java, or Scala
• Experience with streaming and messaging systems (e.g. Jenkins, GitLab), and container orchestration (Kubernetes)
• Experience working with Infrastructure as Code, preferably Terraform, to manage cloud data infrastructure.
• Deep understanding of data modelling, data warehousing, and ETL/ELT design patterns
• Demonstrated team leadership experience
• Familiarity with Agile development practices (Scrum, Kanban, Jira)
• Exposure to financial markets, trading systems, or related high-performance environments is a strong plus

Nice to have

• GCP certification (e.g., Professional Data Engineer or similar) will be considered a strong advantage
• Experience with Amazon Web Services (AWS)
• Knowledge of regulatory reporting, market data, or trade surveillance systems
• Experience with Apache Airflow or similar orchestration tools
• Understanding of data security practices and compliance frameworks

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Join Exadel as a Senior/Lead Data Developer and bring logic to life. Solve analytical challenges and build solutions that matter - with a sharp, collaborative team.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

An international consulting firm that helps companies of all sizes have a better impact on the world. Company capabilities focus on supporting the private and public sectors with their people, processes, and digital technology challenges.

What You’ll Do

• Design, build, and maintain scalable data pipelines primarily within Google Cloud Platform
• Develop integration and transformation workflows between cloud data services and on-prem Oracle databases
• Work closely with trading, risk, and analytics teams to understand data requirements and deliver real-time and batch data solutions
• Optimise and monitor performance of data systems to support latency-sensitive trading applications
• Collaborate with cross-functional teams using Agile/Scrum methodologies to deliver business-critical data projects, provide technical assistance to the team 
• Ensure robust data governance, lineage, and compliance (including MiFID II, FCA, and other regulatory standards)
• Automate data workflows using Terraform, CI/CD pipelines, and containerisation tools (Docker/Kubernetes)

What You Bring

• Strong experience with Google Cloud Platform (BigQuery, DataPlex, DBT, Pub/Sub, Dataflow, Redshift)
• Expertise in Oracle SQL, PL/SQL, and working with complex stored procedures and large datasets
• Proficiency in programming languages such as Python, Java, or Scala
• Experience with streaming and messaging systems (e.g. Jenkins, GitLab), and container orchestration (Kubernetes)
• Experience working with Infrastructure as Code, preferably Terraform, to manage cloud data infrastructure.
• Deep understanding of data modelling, data warehousing, and ETL/ELT design patterns
• Demonstrated team leadership experience
• Familiarity with Agile development practices (Scrum, Kanban, Jira)
• Exposure to financial markets, trading systems, or related high-performance environments is a strong plus

Nice to have

• GCP certification (e.g., Professional Data Engineer or similar) will be considered a strong advantage
• Experience with Amazon Web Services (AWS)
• Knowledge of regulatory reporting, market data, or trade surveillance systems
• Experience with Apache Airflow or similar orchestration tools
• Understanding of data security practices and compliance frameworks

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

ABOUT THE ROLE:

As an Engineering Manager at Tide, you will be responsible for building and running the products your team owns, covering everything our members need to run their business, from banking and payments through to administration and operational tooling.

This role offers an exceptional opportunity to make a real difference by taking ownership of engineering practices in a rapidly expanding company! We trust and empower our Engineering Managers to make real architectural decisions that affect their domain and shape the future of Tide’s Platform.

We operate in domain-aligned, full-stack teams that own products end to end. Engineers self-organise, collaborate on technical challenges, and define shared standards through Communities of Practice.

• Leading & Directly managing a cross functional team
• Partnering with a Product Manager to form the Product Engineering Duo
• Deeply caring about what’s being built as much as the how
• Being responsible of the delivery of the team - quality, stability, timelines, dependencies
• Being responsible of the tech excellence and architecture within the scope of the team
• Driving the continuous improvement of the team performance as measured by DORA
• Securing the continuous growth and wellbeing of the engineers on their team
• Being hands-on, carefully dividing your time between design, coding and coaching other team members. You will be the person people turn to seeking advice and solutions to difficult problems.

WHAT WE ARE LOOKING FOR: 

• Extensive experience (10+ years) building server-side applications and detailed knowledge of Java
• Sound knowledge of a backend framework (e.g. Spring/Spring Boot) 
• Experience with running microservices and implementing and consuming RESTful APIs
• Experience engineering scalable and reliable solutions in a cloud-native environment 
• A mindset of delivering secure, well-tested and well-documented software 
• Full ownership of your code and technical solutions across their entire lifecycle, from development to production.
• Experience integrating with various third party providers and partners 
• Sound knowledge and experience working with relational databases
• Work effectively in an agile environment, using its practices to deliver value consistently and adapt quickly
• Ability to communicate technical concepts to a non-technical audience 
• Apply continuous integration, delivery, and deployment practices in day-to-day development to deliver software reliably to production
• A technical hands on leader who is in the details of what the team is working on day to day
• Experience  leading teams
• Experience directly managing people

Our Tech Stack

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!) 
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable 
• Primary datastores are PostgreSQL via RDS or Aurora (we are heavy AWS users) 
• Docker, Terraform, ArgoCD and, EKS provided by the Cloud team to run the platform 
• DataDog for monitoring, observability and automated SLOs
• GitHub, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first week 
• Angular on Web, Flutter for our mobile app, but from time to time we use Swift and Kotlin
• Fivetran/BigQuery/Looker for the BI insights and Python/FastAPI/Faust + some ML libs for the automated decisioning and risk management

WHAT YOU’LL GET IN RETURN

• The gross monthly salary for this position ranges from 7400€ to 11560€, depending on your skills, and experience.
• Private Health Insurance
• 25 days paid annual leave
• 3 paid days off for volunteering or L&D activities
• Parental Leave days 
• Family-Friendly Leave 
• Personal L&D budget in the amount of 500 EUR per year
• Mental wellbeing platform Plumm
• WFH equipment allowance
• Sabbatical Leave
• Share options
• Team Events

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

ABOUT THE ROLE:

As an Engineering Manager at Tide, you will be responsible for building and running the products your team owns, covering everything our members need to run their business, from banking and payments through to administration and operational tooling.

This role offers an exceptional opportunity to make a real difference by taking ownership of engineering practices in a rapidly expanding company! We trust and empower our Engineering Managers to make real architectural decisions that affect their domain and shape the future of Tide’s Platform.

We operate in domain-aligned, full-stack teams that own products end to end. Engineers self-organise, collaborate on technical challenges, and define shared standards through Communities of Practice.

• Leading & Directly managing a cross functional team of 8-12 engineers
• Partnering with a Product Manager to form the Product Engineering Duo
• Deeply caring about what’s being built as much as the how
• Being responsible of the delivery of the team - quality, stability, timelines, dependencies
• Being responsible of the tech excellence and architecture within the scope of the team
• Driving the continuous improvement of the team performance as measured by DORA
• Securing the continuous growth and wellbeing of the engineers on their team
• Being hands-on, carefully dividing your time between design, coding and coaching other team members. You will be the person people turn to seeking advice and solutions to difficult problems.

WHAT WE ARE LOOKING FOR: 

• Extensive experience (10+ years) building server-side applications and detailed knowledge of of Python, Java, C#, or another similar language
• Sound knowledge of a backend framework (e.g. Spring/Spring Boot) 
• Experience with running microservices and implementing and consuming RESTful APIs
• Experience engineering scalable and reliable solutions in a cloud-native environment 
• A mindset of delivering secure, well-tested and well-documented software 
• Full ownership of your code and technical solutions across their entire lifecycle, from development to production.
• Experience integrating with various third party providers and partners 
• Sound knowledge and experience working with relational databases
• Work effectively in an agile environment, using its practices to deliver value consistently and adapt quickly
• Ability to communicate technical concepts to a non-technical audience 
• Apply continuous integration, delivery, and deployment practices in day-to-day development to deliver software reliably to production
• A technical hands on leader who is in the details of what the team is working on day to day
• Experience  leading teams
• Experience directly managing people

Our Tech Stack

• Python, Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!) 
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable 
• Primary datastores are PostgreSQL via RDS or Aurora (we are heavy AWS users) 
• Docker, Terraform, ArgoCD and, EKS provided by the Cloud team to run the platform 
• DataDog for monitoring, observability and automated SLOs
• GitHub, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first week 
• Angular on Web, Flutter for our mobile app, but from time to time we use Swift and Kotlin
• Fivetran/BigQuery/Looker for the BI insights and Python/FastAPI/Faust + some ML libs for the automated decisioning and risk management

WHAT YOU’LL GET IN RETURN: 

Our location-specific employee benefits are designed to cater to the unique needs of Tideans: 

• 25 days paid annual leave
• 3 paid days off for volunteering or L&D activities
• Extended maternity and paternity leave covered by the company
• Personal L&D budget in the amount of 500 EUR per year
• Additional health & dental insurance
• Mental wellbeing platform
• Fully covered Multisports card
• Food vouchers
• Snacks, light food, drinks in the office
• WFH equipment allowance
• Flexible working from home
• Sabbatical Leave
• Share options

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

ABOUT THE ROLE:

As an Engineering Manager at Tide, you will be responsible for building and running the products your team owns, covering everything our members need to run their business, from banking and payments through to administration and operational tooling.

This role offers an exceptional opportunity to make a real difference by taking ownership of engineering practices in a rapidly expanding company! We trust and empower our Engineering Managers to make real architectural decisions that affect their domain and shape the future of Tide’s Platform.

We operate in domain-aligned, full-stack teams that own products end to end. Engineers self-organise, collaborate on technical challenges, and define shared standards through Communities of Practice.

• Leading & Directly managing a cross functional team of 8-12 engineers
• Partnering with a Product Manager to form the Product Engineering Duo
• Deeply caring about what’s being built as much as the how
• Being responsible of the delivery of the team - quality, stability, timelines, dependencies
• Being responsible of the tech excellence and architecture within the scope of the team
• Driving the continuous improvement of the team performance as measured by DORA
• Securing the continuous growth and wellbeing of the engineers on their team
• Being hands-on, carefully dividing your time between design, coding and coaching other team members. You will be the person people turn to seeking advice and solutions to difficult problems.

WHAT WE ARE LOOKING FOR: 

• Extensive experience (10+ years) building server-side applications and detailed knowledge of of Python, Java, C#, or another similar language
• Sound knowledge of a backend framework (e.g. Spring/Spring Boot) 
• Experience with running microservices and implementing and consuming RESTful APIs
• Experience engineering scalable and reliable solutions in a cloud-native environment 
• A mindset of delivering secure, well-tested and well-documented software 
• Full ownership of your code and technical solutions across their entire lifecycle, from development to production.
• Experience integrating with various third party providers and partners 
• Sound knowledge and experience working with relational databases
• Work effectively in an agile environment, using its practices to deliver value consistently and adapt quickly
• Ability to communicate technical concepts to a non-technical audience 
• Apply continuous integration, delivery, and deployment practices in day-to-day development to deliver software reliably to production
• A technical hands on leader who is in the details of what the team is working on day to day
• Experience  leading teams
• Experience directly managing people

Our Tech Stack

• Python, Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!) 
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable 
• Primary datastores are PostgreSQL via RDS or Aurora (we are heavy AWS users) 
• Docker, Terraform, ArgoCD and, EKS provided by the Cloud team to run the platform 
• DataDog for monitoring, observability and automated SLOs
• GitHub, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first week 
• Angular on Web, Flutter for our mobile app, but from time to time we use Swift and Kotlin
• Fivetran/BigQuery/Looker for the BI insights and Python/FastAPI/Faust + some ML libs for the automated decisioning and risk management

WHAT YOU’LL GET IN RETURN: 

Our location-specific employee benefits are designed to cater to the unique needs of Tideans: 

• Remote first
• 25 days of paid annual leave
• 3 paid days off for volunteering or L&D activities
• Private Health Insurance
• Mental Health Support Platform
• FitPass
• Family and friendly leave (according to statutory)
• Personal L&D budget
• Share Options

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

Overview

As a Staff Data Product Manager for the Analytics Platform, you will own the vision and roadmap for our core data foundation, primarily powered by Snowflake. Your mission is to bridge the "Perception vs. Reality" gap: while our platform is technically robust (with minimal incidents in 2025), users often find data hard to use or unclear.
You will define the "what" and "why" of our platform , ensuring it transitions from a reactive service to a strategic partner that empowers every team at Super to leverage data and AI capabilities at scale.

Key responsibilities

Product strategy & vision

• Own and articulate the product strategy and long-term vision for the Analytics Platform by defining the end-to-end analytical product lifecycle —- from data producer contract management and quality guardrails to downstream data consumers, their access patterns, and measurable value realisation.
• Develop a long-term vision for the Analytics Platform, aligning with broader data-driven objectives.
• Stay ahead of industry trends in cloud warehousing, data modeling, and emerging AI technologies.
• Propose and explore new ways of utilizing Snowflake to leverage AI capabilities and drive business value.

User research & advocacy

• Define and continuously evolve a clear measurement framework for Analytics Platform usability and adoption; use it to enable data-driven decisions with platform leaders and to directly shape roadmap priorities based on measurable impact.
• Deeply investigate actual customer needs, workflows, and pain points to eliminate "blind spots" in platform adoption.
• Address the gap between technical uptime and user perception by ensuring data is intuitive, clear, and reliable.
• Champion a user-centric culture, transforming how technical and business teams interact with our data models.

Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap, balancing operational excellence with strategic initiatives.
• Collaborate with Product, Marketing, and Data Science to ensure Analytics platform is focused on most impactful initiatives across all areas

Strategic integration

• Partner with Product teams to ensure the Analytics Platform is a first-class citizen in the development lifecycle, not an afterthought.
• Partner with the Analytics Platform and Data leadership to transform high-level objectives into vision, direction and roadmap for a scalable, reliable technical platform.

Execution & delivery

• Translate business goals into well-defined problem statements, user stories, and acceptance criteria.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure every initiative has a defined "Problem to Solve" and clear success measurement.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
• 6–8+ years of product management experience, specifically with data products or analytics platforms.

2. Technical & domain expertise

• Strong familiarity with Analytics databases (e.g Snowflake, BigQuery, Redshift), ETL pipelines, DWH concepts and BI tools.
• Ability to convert complex technical concepts into clear business value.
• Proven track record in leading cross-functional teams

3. Strong differentiators

• Previous experience driving large-scale data product initiatives from ideation to launch
• Experience in entertainment, online gaming, or sports betting industries.

Overview

As a Staff Data Product Manager for the Analytics Platform, you will own the vision and roadmap for our core data foundation, primarily powered by Snowflake. Your mission is to bridge the "Perception vs. Reality" gap: while our platform is technically robust (with minimal incidents in 2025), users often find data hard to use or unclear.
You will define the "what" and "why" of our platform , ensuring it transitions from a reactive service to a strategic partner that empowers every team at Super to leverage data and AI capabilities at scale.

Key responsibilities

Product strategy & vision

• Own and articulate the product strategy and long-term vision for the Analytics Platform by defining the end-to-end analytical product lifecycle —- from data producer contract management and quality guardrails to downstream data consumers, their access patterns, and measurable value realisation.
• Develop a long-term vision for the Analytics Platform, aligning with broader data-driven objectives.
• Stay ahead of industry trends in cloud warehousing, data modeling, and emerging AI technologies.
• Propose and explore new ways of utilizing Snowflake to leverage AI capabilities and drive business value.

User research & advocacy

• Define and continuously evolve a clear measurement framework for Analytics Platform usability and adoption; use it to enable data-driven decisions with platform leaders and to directly shape roadmap priorities based on measurable impact.
• Deeply investigate actual customer needs, workflows, and pain points to eliminate "blind spots" in platform adoption.
• Address the gap between technical uptime and user perception by ensuring data is intuitive, clear, and reliable.
• Champion a user-centric culture, transforming how technical and business teams interact with our data models.

Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap, balancing operational excellence with strategic initiatives.
• Collaborate with Product, Marketing, and Data Science to ensure Analytics platform is focused on most impactful initiatives across all areas

Strategic integration

• Partner with Product teams to ensure the Analytics Platform is a first-class citizen in the development lifecycle, not an afterthought.
• Partner with the Analytics Platform and Data leadership to transform high-level objectives into vision, direction and roadmap for a scalable, reliable technical platform.

Execution & delivery

• Translate business goals into well-defined problem statements, user stories, and acceptance criteria.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure every initiative has a defined "Problem to Solve" and clear success measurement.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
• 6–8+ years of product management experience, specifically with data products or analytics platforms.

2. Technical & domain expertise

• Strong familiarity with Analytics databases (e.g Snowflake, BigQuery, Redshift), ETL pipelines, DWH concepts and BI tools.
• Ability to convert complex technical concepts into clear business value.
• Proven track record in leading cross-functional teams

3. Strong differentiators

• Previous experience driving large-scale data product initiatives from ideation to launch
• Experience in entertainment, online gaming, or sports betting industries.

Overview

As a Staff Data Product Manager for the Analytics Platform, you will own the vision and roadmap for our core data foundation, primarily powered by Snowflake. Your mission is to bridge the "Perception vs. Reality" gap: while our platform is technically robust (with minimal incidents in 2025), users often find data hard to use or unclear.
You will define the "what" and "why" of our platform , ensuring it transitions from a reactive service to a strategic partner that empowers every team at Super to leverage data and AI capabilities at scale.

Key responsibilities

Product strategy & vision

• Own and articulate the product strategy and long-term vision for the Analytics Platform by defining the end-to-end analytical product lifecycle —- from data producer contract management and quality guardrails to downstream data consumers, their access patterns, and measurable value realisation.
• Develop a long-term vision for the Analytics Platform, aligning with broader data-driven objectives.
• Stay ahead of industry trends in cloud warehousing, data modeling, and emerging AI technologies.
• Propose and explore new ways of utilizing Snowflake to leverage AI capabilities and drive business value.

User research & advocacy

• Define and continuously evolve a clear measurement framework for Analytics Platform usability and adoption; use it to enable data-driven decisions with platform leaders and to directly shape roadmap priorities based on measurable impact.
• Deeply investigate actual customer needs, workflows, and pain points to eliminate "blind spots" in platform adoption.
• Address the gap between technical uptime and user perception by ensuring data is intuitive, clear, and reliable.
• Champion a user-centric culture, transforming how technical and business teams interact with our data models.

Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap, balancing operational excellence with strategic initiatives.
• Collaborate with Product, Marketing, and Data Science to ensure Analytics platform is focused on most impactful initiatives across all areas

Strategic integration

• Partner with Product teams to ensure the Analytics Platform is a first-class citizen in the development lifecycle, not an afterthought.
• Partner with the Analytics Platform and Data leadership to transform high-level objectives into vision, direction and roadmap for a scalable, reliable technical platform.

Execution & delivery

• Translate business goals into well-defined problem statements, user stories, and acceptance criteria.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure every initiative has a defined "Problem to Solve" and clear success measurement.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
• 6–8+ years of product management experience, specifically with data products or analytics platforms.

2. Technical & domain expertise

• Strong familiarity with Analytics databases (e.g Snowflake, BigQuery, Redshift), ETL pipelines, DWH concepts and BI tools.
• Ability to convert complex technical concepts into clear business value.
• Proven track record in leading cross-functional teams

3. Strong differentiators

• Previous experience driving large-scale data product initiatives from ideation to launch
• Experience in entertainment, online gaming, or sports betting industries.

Overview

As a Staff Data Product Manager for the Analytics Platform, you will own the vision and roadmap for our core data foundation, primarily powered by Snowflake. Your mission is to bridge the "Perception vs. Reality" gap: while our platform is technically robust (with minimal incidents in 2025), users often find data hard to use or unclear.
You will define the "what" and "why" of our platform , ensuring it transitions from a reactive service to a strategic partner that empowers every team at Super to leverage data and AI capabilities at scale.

Key responsibilities

Product strategy & vision

• Own and articulate the product strategy and long-term vision for the Analytics Platform by defining the end-to-end analytical product lifecycle —- from data producer contract management and quality guardrails to downstream data consumers, their access patterns, and measurable value realisation.
• Develop a long-term vision for the Analytics Platform, aligning with broader data-driven objectives.
• Stay ahead of industry trends in cloud warehousing, data modeling, and emerging AI technologies.
• Propose and explore new ways of utilizing Snowflake to leverage AI capabilities and drive business value.

User research & advocacy

• Define and continuously evolve a clear measurement framework for Analytics Platform usability and adoption; use it to enable data-driven decisions with platform leaders and to directly shape roadmap priorities based on measurable impact.
• Deeply investigate actual customer needs, workflows, and pain points to eliminate "blind spots" in platform adoption.
• Address the gap between technical uptime and user perception by ensuring data is intuitive, clear, and reliable.
• Champion a user-centric culture, transforming how technical and business teams interact with our data models.

Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap, balancing operational excellence with strategic initiatives.
• Collaborate with Product, Marketing, and Data Science to ensure Analytics platform is focused on most impactful initiatives across all areas

Strategic integration

• Partner with Product teams to ensure the Analytics Platform is a first-class citizen in the development lifecycle, not an afterthought.
• Partner with the Analytics Platform and Data leadership to transform high-level objectives into vision, direction and roadmap for a scalable, reliable technical platform.

Execution & delivery

• Translate business goals into well-defined problem statements, user stories, and acceptance criteria.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure every initiative has a defined "Problem to Solve" and clear success measurement.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
• 6–8+ years of product management experience, specifically with data products or analytics platforms.

2. Technical & domain expertise

• Strong familiarity with Analytics databases (e.g Snowflake, BigQuery, Redshift), ETL pipelines, DWH concepts and BI tools.
• Ability to convert complex technical concepts into clear business value.
• Proven track record in leading cross-functional teams

3. Strong differentiators

• Previous experience driving large-scale data product initiatives from ideation to launch
• Experience in entertainment, online gaming, or sports betting industries.

MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.

About the Role

We're hiring a Senior Data Scientist with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You'll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions.

This is a hands-on, high-autonomy role. You'll work across the full data stack-writing sophisticated SQL in BigQuery and MariaDB, building automation and tooling in Python, and leveraging AI-powered tools like Windsurf, Gemini, and Claude to work faster and smarter. You'll be expected to understand how data is structured end-to-end, from source systems through to the warehouse, and to know which analytical approach fits which business question.

You'll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what's possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and you're the kind of person who's always learning the next thing-we'd love to hear from you.

Key Responsibilities

• Apply the right analytical methods-statistical analysis, regression, clustering, forecasting, classification-to solve real business problems at scale
• Design and build end-to-end analytical solutions-from data extraction in BigQuery and MariaDB to actionable insights and automated reporting
• Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL
• Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate experimentation, code generation, and analysis
• Leverage the latest AI features and tools (LLMs, embeddings, generative AI) to augment and automate analytical workflows
• Build lightweight applications and APIs (FastAPI) to put models and insights into the hands of stakeholders
• Own the data architecture decisions within your domain-schema design, data modeling, and pipeline reliability
• Communicate results, trade-offs, and recommendations clearly to both technical and business audiences
• Map and improve business processes through data-driven analysis and process design

Requirements & Qualifications

• 7+ years of professional experience in data science, advanced analytics, or a quantitative field
• Expert-level SQL - deep fluency in BigQuery and MariaDB or similar data platforms; you understand query optimization, partitioning, and data modeling
• Strong Python and/or JavaScript skills - production-quality code, not just notebooks; experience with modern data and ML libraries
• Deep understanding of analytical methods - regression, clustering, time series, A/B testing, classification; you know when to apply what and why
• Solid understanding of data architecture - how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads
• Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you leverage AI assistants as a core part of your workflow
• Excellent communication skills - you present complex technical work in a way that drives decisions
• Self-managing and self-sufficient - you set your own priorities, unblock yourself, and deliver without hand-holding
• Relentlessly curious and ambitious - you're always learning, always building, always improving
• A public GitHub profile showcasing your projects, experiments, or contributions

Nice to Have

• Experience with Next.js or modern frontend frameworks for building data-facing applications
• FastAPI experience for serving models or internal tooling
• Background in business process analysis or operational process design
• Experience working across multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - broad organizational exposure is a big plus
• Experience with JSON-based data formats, APIs, and integration patterns
• Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus

Benefits & Culture

• Globally distributed team environment
• Remote or hybrid work options (location-dependent)
• Challenging projects with company-wide impact
• Competitive compensation, 25 days paid annual leave, plus holidays
• A culture that values curiosity, clean engineering, and people who genuinely love what they do

Location – Romania (remote)

Travel – Flexible for adhoc travel

What's in it for you?

Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. 

You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.

Salaries for candidates outside the U.S. will vary based on local compensation structures.

How to Apply

If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.

• At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
• MariaDB does not sponsor work visas or relocation.
• MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
• MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.

About the Role

We're looking for a Senior Data Analytics Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business.

Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable.

Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you.

Key Responsibilities

• Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB
• Write sophisticated, performant SQL to extract insights from large-scale datasets
• Leverage AI and machine learning features to augment analytics workflows and deliver smarter outputs
• Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level
• Develop internal tooling and automation using Python, FastAPI, and modern frameworks
• Communicate findings clearly to technical and non-technical stakeholders-translate data into action
• Understand and document data architecture, lineage, and how information flows across systems
• Collaborate on business process analysis and process design improvements driven by data
• Proactively identify opportunities for deeper analysis, better tooling, and operational improvements

Requirements & Qualifications

• 7+ years of professional experience in data analytics engineering, data engineering, or a related field
• Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred
• Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts
• js experience - ability to build data-facing web applications and internal dashboards
• Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve
• Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically
• Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch
• Excellent communication skills - you can explain complex analysis to anyone in the room
• Self-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next
• Ambitious and continuously improving - you seek out new skills, tools, and techniques on your own
• A public GitHub profile with examples of your work (personal projects, contributions, experiments)

Nice to Have

• FastAPI experience for building internal APIs and services
• Background in business process design or operational analytics
• Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo
• Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus

Location – Romania (remote)

Travel - As required for the job (minimal).

What's in it for you?

Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. 

You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.

Salaries for candidates outside the U.S. will vary based on local compensation structures.

How to Apply

If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.

• At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
• MariaDB does not sponsor work visas or relocation.
• MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
• MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Are you excited about building analytics foundations that people can truly rely on, turning complex business questions into trusted datasets, metrics, and reporting experiences? At Super Technologies, data is a strategic enabler of decision-making, experimentation, and performance measurement. Our Analytics Platform team builds the foundations that make data reliable, accessible, and actionable, partnering with product, commercial, and engineering teams to measure what matters.

You’ll be joining a mature and growing community of 40+ data engineers and analytics engineers who are shaping one of the most advanced data ecosystems in the industry.

What you'll be doing:

• Design and build curated analytical datasets, metric implementation, and semantic models that enable consistent self-service analytics across the company
• Work hands-on with data warehouse modelling to turn evolving product and business needs into scalable, reusable data structures
• Partner closely with product, data scientists and business stakeholders to clarify requirements and translate them into reliable data models and reporting-ready outputs
• Build and own production dashboards (Tableau) on top of curated datasets and metric definitions, ensuring correctness, performance, and a consistent “single source of truth”
• Contribute to data quality, observability, lineage, and documentation practices to increase trust and reduce firefighting
• Promote reuse over reinvention, identify ad-hoc logic in reporting views or custom SQL and refactor it into curated, high-quality models that multiple teams can rely on.
• Raise the engineering bar through reviews, testing, automation, and pragmatic architectural improvements
• Apply engineering rigor to analytics - treat semantics as code utilizing version control, testing, automation, and CI/CD practices to manage the lifecycle of our business logic.
• Drive self-service adoption - create the foundations that allow analysts and business users to explore data safely and independently, without needing to reinvent the wheel.
• Work embedded within Data Engineering squads, collaborating daily with both data engineers and analysts on shared foundations and end-to-end delivery

We're looking for:

• Strong SQL skills and proven experience building analytical datasets and metrics in a modern data warehouse (Snowflake preferred, BigQuery, Redshift and similar also valuable)
• Solid understanding of data warehouse modeling and best practices (dimensional modeling, fact/dimension design, grains, slowly changing dimensions, semantic consistency)
• Experience working with reporting and BI tools (Tableau preferred), including understanding how data sources, extracts, and dashboard logic impact correctness, performance, and trust
• A production mindset: you care about reliability, maintainability, documentation, and operational ownership, not just creating a dataset once
• Strong ownership and collaboration skills, able to drive clarity in ambiguous problem spaces and partner effectively with both technical and non-technical teams
• Excellent communication skills with a pragmatic, problem-solving approach

Bonus points for:

• Experience with orchestration and workflow tooling (Airflow or similar)
• Experience with data cataloging, lineage, and governance tooling (e.g., DataHub)
• Background in product-led, experimentation-driven, or high-growth environments where definitions evolve quickly
• Experience supporting downstream operational consumers (e.g., CRM/audience platforms) or ML/feature engineering use cases
• Familiarity with streaming/event-heavy ecosystems (Kafka or similar)

Are you excited about building analytics foundations that people can truly rely on, turning complex business questions into trusted datasets, metrics, and reporting experiences? At Super Technologies, data is a strategic enabler of decision-making, experimentation, and performance measurement. Our Analytics Platform team builds the foundations that make data reliable, accessible, and actionable, partnering with product, commercial, and engineering teams to measure what matters.

You’ll be joining a mature and growing community of 40+ data engineers and analytics engineers who are shaping one of the most advanced data ecosystems in the industry.

What you'll be doing:

• Design and build curated analytical datasets, metric implementation, and semantic models that enable consistent self-service analytics across the company
• Work hands-on with data warehouse modelling to turn evolving product and business needs into scalable, reusable data structures
• Partner closely with product, data scientists and business stakeholders to clarify requirements and translate them into reliable data models and reporting-ready outputs
• Build and own production dashboards (Tableau) on top of curated datasets and metric definitions, ensuring correctness, performance, and a consistent “single source of truth”
• Contribute to data quality, observability, lineage, and documentation practices to increase trust and reduce firefighting
• Promote reuse over reinvention, identify ad-hoc logic in reporting views or custom SQL and refactor it into curated, high-quality models that multiple teams can rely on.
• Raise the engineering bar through reviews, testing, automation, and pragmatic architectural improvements
• Apply engineering rigor to analytics - treat semantics as code utilizing version control, testing, automation, and CI/CD practices to manage the lifecycle of our business logic.
• Drive self-service adoption - create the foundations that allow analysts and business users to explore data safely and independently, without needing to reinvent the wheel.
• Work embedded within Data Engineering squads, collaborating daily with both data engineers and analysts on shared foundations and end-to-end delivery

We're looking for:

• Strong SQL skills and proven experience building analytical datasets and metrics in a modern data warehouse (Snowflake preferred, BigQuery, Redshift and similar also valuable)
• Solid understanding of data warehouse modeling and best practices (dimensional modeling, fact/dimension design, grains, slowly changing dimensions, semantic consistency)
• Experience working with reporting and BI tools (Tableau preferred), including understanding how data sources, extracts, and dashboard logic impact correctness, performance, and trust
• A production mindset: you care about reliability, maintainability, documentation, and operational ownership, not just creating a dataset once
• Strong ownership and collaboration skills, able to drive clarity in ambiguous problem spaces and partner effectively with both technical and non-technical teams
• Excellent communication skills with a pragmatic, problem-solving approach

Bonus points for:

• Experience with orchestration and workflow tooling (Airflow or similar)
• Experience with data cataloging, lineage, and governance tooling (e.g., DataHub)
• Background in product-led, experimentation-driven, or high-growth environments where definitions evolve quickly
• Experience supporting downstream operational consumers (e.g., CRM/audience platforms) or ML/feature engineering use cases
• Familiarity with streaming/event-heavy ecosystems (Kafka or similar)