Company Background

Our client is a global leader in advanced energy storage solutions, specializing in the design and manufacturing of automotive batteries. Headquartered in Milwaukee, Wisconsin, the company serves major automakers and aftermarket retailers, producing over 150 million batteries annually and powering 1 in 3 vehicles worldwide. With operations in more than 50 countries, the company focuses on innovative and sustainable battery technologies for conventional, hybrid, and electric vehicles, supporting the evolving mobility ecosystem.

Project Description

The project focuses on consolidating existing SMS and email prototypes into a single production-ready solution with a user interface for scheduling, configuration, monitoring, and logging. The solution is being built using Power Apps within the company’s environment, with integrations to Snowflake and existing Python and SQL logic.

Technologies

• Azure Functions (API endpoints, data processing);
• Python;
• SQL;
• Snowflake;
• Power Apps (UI, workflows, SharePoint integrations);

What You'll Do

• Migrate the existing messaging solution from Python to Power Apps;
• Enhance and optimize the current SMS solution based on the new messaging architecture;
• Ensure performance, scalability, and reliability of the solution;
• Implement and support global HDIR file upload functionality;
• Design and develop API endpoints for Generic Customer APIs;
• Communicate directly with the client as the primary point of contact for the project;

Job Requirements

• 5+ years of experience as a Data Engineer;
• Experience with SQL and Snowflake;
  
• Experience working with high-load systems and data processing optimization;
• Experience with Azure Functions, primarily for building API endpoints and handling data processing;
• Basic understanding of Python scripting;
• Familiarity with security best practices, including encryption, secure data handling, and compliance with industry regulations;
• Experience with Power Apps is a plus;
• Self-motivated and able to work independently with minimal guidance in a dynamic environment;
• Proven ability to adapt quickly and work effectively in Agile or iterative delivery teams;
• Strong written and verbal communication skills in English;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

The customer is a technology leader in restaurant, foodservice, and hospitality solutions. Their focus is on developing tools that enhance business efficiency and decision-making. The team works in a dynamic environment that fosters innovation, collaboration, and continuous learning.

Project Description

As a Customer Support Specialist, you will be a key part of making sure that we can keep delivering high-quality support to the customers. You will be able to explore new technology and develop processes to help other team members, grow within our company and make a huge impact from day one. Working hours aligned with Central European Time, with availability until 9 PM CET.

Technologies

• SQL
• Python
• JSON
• REST APIs
• POS systems (Toast, Aloha, Brink, Simphony)
• XML

What You'll Do

• Help customers solve problems in the platform and keep them updated on ticket progress;
• Use internal tools to troubleshoot customer reported tickets;
• Translate technical details from our development teams into non-technical language that the customers can understand;
• Analyze data discrepancies between multiple tools to confirm accuracy based on customer inquiries and reassure the customer that data displayed is accurate;
• Build and optimize dynamic SQL scripts to maintain data integrity and support enterprise reporting;
• Accept requests for Technical Resource assistance from the Customer Support Analysts on your team;
• Work side-by-side with the development teams of our Connex, CIS, API and Insights product teams to research and resolve customer reported issues;
• Sympathize with the customer’s situation and take pride in finding them a resolution on tickets submitted;

Job Requirements

• 3-5 years of remote application support experience;
• 2-4 years of customer-facing experience in any industry, but hospitality industry is preferable;
• Knowledge of Python (intermediate), SQL (advanced), JSON (intermediate), and XML (basic);
• An understanding of Rest APIs, including the ability to troubleshoot;
• Prior experience with POS systems i.e. Toast, Aloha, Brink and/or Simphony to the extent that you can determine if tickets logged are an issue with the POS configuration or our Connex POS integration software;
• Able to work in fast paced environment with multiple competing priorities;
• Ability to prioritize tasks independently based on understanding business impact for the customer;
• Bachelors Degree in Computer Science, Information Technology or similar;
• Excellent interpersonal and communication skills (written and verbal);
• Knowledge of English from Upper-Intermediate;
• Ability to work up to 9 PM CET timezone;

Nice to Have

• Experience working with a distributed/remote team across multiple time zones;
• Ability to successfully complete tasks within Coalesce or any similar data transformation solution for Snowflake;
• Completion of Snowflake Learning Path(s): Data Engineer SQL and/or Data Analyst;
• Experience with Jira, Confluence, and Zendesk;
• Familiarity with AWS and Airtable;
• Prior experience working with CIS systems like Netsuite, Workday, or Quickbooks;
• Able to troubleshoot networking and communication protocols;
• Experience supporting restaurant, convenience store, or grocery industry verticals;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Internal startup incubator;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month. Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.

HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.

About the role: What's in the Box

We are a cross-functional team that integrates data engineers and data analysts. Our objective is to establish a dependable groundwork for data-driven decision-making. This role holds significance across the organization, tasked with constructing foundational data assets and metrics.

As a Senior Data Engineer in Core Data Products, the focus is on collaborating to build robust and highly reliable data products using cutting-edge technologies (Snowflake, Databricks, DBT, Spark, Kafka etc). This involves working on the continuous improvement of current data processing workflows; whilst engaging with data producers and consumers to align business requirements with the roadmap.

What you’ll do: The Recipe

• Build and maintain complex and scalable ETL pipelines
• Work closely with the data producers and software developers
• Collaborate closely with different stakeholders such as Marketing, Product Analytics, etc.
• Drive data quality and governance 
• Work together with our cross-organizational data engineering chapter to adapt the latest tools and techniques to the needs of HelloFresh.

What you’ll bring: The Ingredients 

• Solid hands-on experience working with AI coding agents (e.g., Claude Code, Cursor, Copilot) beyond casual experimentation. You use AI agents as thought partners to onboard on unfamiliar codebases and navigate new areas of the code with confidence. You have a practical sense of how the context you provide to AI tools - specifications, constraints, examples - shapes output quality, and a developing awareness of how agentic outputs can fail, with growing habits around verifying, testing, and setting boundaries on AI-generated work.
• Extensive experience of engineering fundamentals and able to design, implement and deliver maintainable and high-quality code
• Track record of delivering scalable, production-ready solutions 
• Mastery of SQL and query optimization techniques
• Strong problem-solving acumen 
• Proficiency in Python stack
• Exceptional technical background and a demonstrated clear impact on achieving business goals
• Strong written and verbal communication skills, ability to build effective communication structures in a fast-growing engineering organization
• Extensive experience with Apache Spark or equivalent

What we offer: The Toppings

• Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
• Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
• Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
• End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
• Access to workspace at Warsaw Centre Point: The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you.  We aim to review your profile and respond within 5 business days.

#DATA

Why Verifone

For more than 30 years, Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone is one of the leading electronic payment solutions brands and among the largest providers of electronic payment systems worldwide.

Verifone has a diverse, dynamic, and fast-paced work environment in which employees are focused on results and have opportunities to excel. We take pride in working with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payment solutions around the world. We strive for excellence in our products and services and are obsessed with customer happiness.

Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next generation of secure payment systems or finding new ways to bring electronic payments to emerging markets, the Verifone team is dedicated to the success of our customers, partners, and investors. It is this passion for innovation that drives every Verifone employee toward personal and professional success.

Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.

What’s Exciting About the Role

Verifone is seeking a Kafka DevOps Engineer to join our Platform Engineering team. This is an operations-first role with a strong emphasis on scripting, automation, and pipeline development. You’ll be hands-on with day-to-day Kafka operations, reliability, tuning, and high availability for payment gateway solutions that process billions of transactions annually on-prem and in AWS Cloud. Beyond keeping the lights on, you’ll play a key role in building the data pipelines—of which Kafka is a core component—that power Verifone’s new AI, machine learning, and analytics initiatives. You’ll also be part of an active effort to migrate Kafka and related services to Kubernetes, giving you hands-on experience with a meaningful infrastructure modernization project. The technology footprint is broad: Redis, MongoDB, PostgreSQL, MySQL, Snowflake, and more—so you’ll grow well beyond a single-technology niche.

Key Responsibilities

Kafka Operations & Reliability

• Manage and support Apache Kafka clusters (including MSK), Kafka Connect ecosystem, and KSQL for high-throughput, fault-tolerant messaging and event streaming pipelines.
• Monitor system health, set up alerts, and drive incident response and root cause analysis (RCA).
• Handle day-to-day operational tasks including offset management, lag monitoring, consumer group management, and cluster rebalancing.
• Perform routine cluster maintenance: upgrades, configuration changes, scaling, and health checks.

Scripting, Automation & DevOps

• Develop and manage automation scripts using Python and Shell scripting to reduce manual toil and improve operational efficiency.
• Design, implement, and maintain robust CI/CD pipelines for patching automation.
• Build and maintain Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or similar.
• Containerize and orchestrate workloads using Docker and Kubernetes, with the opportunity to help migrate Kafka and related services to Kubernetes.

Data Pipeline Development

• Build and optimize end-to-end data pipelines, with Kafka as a core streaming component alongside batch and ETL processes, enabling new AI, ML, and analytics use cases.
• Collaborate with development teams to implement best practices for data flow, security, scalability, and performance.
• Continuously identify and implement improvements to the software development lifecycle (SDLC).

Cloud & Infrastructure

• Manage cloud infrastructure on AWS (VMs, networking, storage, IAM, etc.).
• Support cloud migration tasks and assist in moving workloads between on-prem and cloud environments.

Required Qualifications / Skills

• 4+ years of overall engineering experience with 2+ years of hands-on experience supporting Kafka infrastructure in a large-scale production environment.
• Kafka Producer/Consumer microservices concepts and Kafka distributed architecture.
• Solid Linux fundamentals: networking basics, logs, system troubleshooting, process/memory, disk.
• Strong scripting and automation skills (Python, Bash) with a track record of reducing operational toil.
• CI/CD pipeline development and Infrastructure-as-Code experience (Terraform preferred).
• Cloud engineering skills, preferably AWS (EC2, VPC, IAM, MSK/ElastiCache, CloudWatch).
• Familiarity with observability tools (metrics/logs/tracing concepts) and incident response practices.
• Basic understanding of distributed systems tradeoffs (availability, consistency, partitions, backpressure).
• Strong communication and presentation skills with emphasis on executive communication.
• Flexible with regards to working shifts; on-call and weekends.

Preferred Skills (Highly Desired)

Data Engineering & Pipelines

• Data engineering skills including data analytics, data processing, ETL, and data lake technologies (batch and streaming, file formats like Parquet, table formats like Iceberg/Delta/Hudi, basic orchestration).
• Experience with AWS data tools (Athena, Glue, Iceberg, Redshift, etc.).
• Exposure to Kafka Streams, Apache Flink, or similar stream processing frameworks.

Database & Caching Technologies

• Operate Redis deployments for caching, ephemeral state, queues/streams, and rate limiting use cases.
• Relational DB experience: PostgreSQL and/or MySQL (indexing basics, vacuum/analyze, query plans, replication fundamentals).
• MongoDB operational familiarity (replica sets, elections, oplog basics, backup/restore).

Infrastructure & Security

• Container/Kubernetes familiarity (deployments, stateful workloads, storage classes).
• On-prem experience (VMware/KVM, storage, networking).
• Security fundamentals: least privilege, secrets management, encryption-in-transit/at-rest concepts.
• Experience working with PCI (Payment Card Industry Data Security) standards.

What We Offer

• Direct impact on Verifone’s global payment infrastructure—your work keeps billions of transactions flowing reliably every year.
• Ground-floor involvement in building the data pipelines that will drive Verifone’s AI, machine learning, and analytics strategy.
• Hands-on participation in a Kafka-to-Kubernetes migration—a resume-building modernization project from day one.
• Multi-technology exposure—Kafka, Redis, MongoDB, PostgreSQL, MySQL, Snowflake—so you grow as a well-rounded platform engineer, not a single-tool specialist.
• Mentorship from senior engineers and Kafka architects with deep production experience.
• Clear career progression path from mid-level to senior and lead engineer.
• Funded certification paths—Confluent (CCDAK, Certified Administrator), AWS (Solutions Architect, MSK Specialty), CKA—plus budget for courses and technical conferences.
• Hybrid/remote working flexibility with a collaborative team culture.
• Competitive compensation with performance-based incentives.

Our Commitment

Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Why Verifone

For more than 30 years, Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone is one of the leading electronic payment solutions brands and among the largest providers of electronic payment systems worldwide.

Verifone has a diverse, dynamic, and fast-paced work environment in which employees are focused on results and have opportunities to excel. We take pride in working with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payment solutions around the world. We strive for excellence in our products and services and are obsessed with customer happiness.

Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next generation of secure payment systems or finding new ways to bring electronic payments to emerging markets, the Verifone team is dedicated to the success of our customers, partners, and investors. It is this passion for innovation that drives every Verifone employee toward personal and professional success.

Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.

What's Exciting About the Role

Verifone is seeking an experienced MySQL Lead DBA who will be responsible for ensuring database performance, high availability, and security of clusters and single instances of MySQL instances. You will also be responsible for orchestrating upgrades, backups, HA/DR, and provisioning database instances. You will work closely with other teams, including application architects/ Sr. Developers and application support engineers for architecture design and SQL optimization, establishing and documenting best practices.

We look for dedicated and versatile engineers who are passionate about working in a company whose culture is dedicated to delivering innovative software products that solve our customers’ most challenging business needs. As a Lead DBA, you’ll have the opportunity to make significant and direct impact on our database performance, applications, and solve some of the most complex challenges in cloud and on prem environments, while lead the team from a technical and development perspective.

This hybrid role is open to hiring candidates located in:

• Bucharest, Romania
• London, United Kingdom
• Riga, Lativa
• Warsaw, Poland

Key Responsibilities

You will be responsible for ensuring that database management policies, processes and procedures are established and followed, adhering to ITIL good practice principles and are subjected to continuous improvement as per PCI standards. They will be responsible for reviewing system design changes to ensure they adhere to expected service standards and recommend changes to ensure maximum stability, availability and efficiency of the supported applications.

The candidate should understand the application functionality, business logics and work with application stake holders to understand the requirement and discuss with the new application features and propose the right solutions. He must liaise closely and work in collaboration with the release management teams, support teams and the infrastructure DBAs. 

• Design, Install, Deploy and Manage MySQL on Physical, Virtual, AWS EC2 / RDS / Aurora.
• Build MySQL clusters with a high availability, active-active cluster setup in a large scale and multi datacenter environments having minimum RPO/RTO on a DR scenario
• Design and implement uniform backup strategy and business continuity plans across the MySQL environments using Percona XtraDB or custom automation scripts with reliable monitoring and alerting mechanisms
• Define thorough and validated database monitoring and alerting, along with documentation for future references
• Setup high availability with Master-Master/ Master-slave replication
• Maintain stable performance via server optimizations
• Guide engineering teams to best practices on server configurations and SQL tuning.
• Maintain security and compliance via OS and database version upgrades
• Work with application stake holders to create effective database solutions
• Create and maintain adhoc reports
• Adhere to the incident and change process, prepare thorough documentation, and peer review planned production tasks
• Support application release process, and automations
• Mentor and develop other engineers on MySQL skills

Required Qualifications/Skills

• Minimum 8 years of experience managing MySQL
• Experience with MySQL Active/Active cluster setup, Database Upgrade and Migrations, Scripting
• Experience administrating MySQL on Linux platform
• Experience with MySQL version upgrades in production environments with a zero or very minimum application down time
• Experience with design & architecting MySQL environments using any framework such as Galera Cluster or Percona XtraDB
• Experience deploying database monitoring using at least one of PMM, New Relic, Datadog, Nagios, Grafana, ELK, AppD, etc.
• Infrastructure as Code (IaC) such as Terraform, Ansible, Puppet, Chef
• Proficiency with cloud infrastructure, AWS RDS or equivalent.
• Automation/scripting skills in a modern language like Python, Shell scripting, Go, Java, Rust.
• Proficiency in CI/CD pipelines such as Jenkins, Github Actions, Gitlab.
• Advanced experience with database performance tuning including SQL tuning, hardware configuration and capacity planning.
• Strong technical leadership, mentoring and time management skills.

Preferred Skills (Not Mandatory)

• Experience working with PCI (Payment Card Industry Data Security) standards
• ITIL environment experience
• Deep experience with SQL, stored procedures, functions, triggers, batch jobs, reporting, analytics.
• Experience managing PostgreSQL, SQL Server, and/or Oracle.
• Experience and knowledge with NoSQL and data engineering technologies such as Kafka, Redis, Snowflake, Databricks, Spark, Redshift, ETL, etc.
• Experience with data analytics and Business intelligence

Our Commitment

Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

CAPCO POLAND

Capco Poland is a global technology and management consultancy specializing in driving digital transformation across the financial services industry. We are passionate about helping our clients succeed in an ever-changing industry.

We are also:

• Experts in banking and payments, capital markets and wealth and asset management
• Committed to growing our business and hiring the best talent to help us get there
• Focused on maintaining our nimble, agile and entrepreneurial culture

About the role:

We are looking for a Senior Data Solution Engineer to join our data engineering team and help turn complex data into actionable, business-ready insights.

In this role, you will design and deliver scalable data solutions, including domain data marts, semantic models, and Power BI dashboards. You will act as the bridge between business stakeholders and engineering teams, ensuring that data platforms are robust, performant, and aligned with business needs.

You will also contribute to building and evolving a modern data platform, including migrating existing analytics solutions to the cloud and continuously improving the ecosystem.

Key Responsibilities:

• Architect and deliver business data marts in Snowflake, leading the development of production-grade dbt models
• Establish and maintain standards for data modeling, documentation, and testing
• Collaborate with the Data Architect to evolve and enhance the Data Vault 2.0 architecture
• Lead the design and implementation of the semantic layer in Power BI, including development of reports and dashboards
• Optimize performance and cost efficiency across data models, queries, and BI solutions
• Collaborate with cross-functional teams (data engineers, business analysts, delivery leads, and stakeholders) to design and deliver data solutions
• Embed SLAs, operational processes, and monitoring capabilities into solutions
• Participate in incident management, root cause analysis, and continuous improvement activities
• Mentor and coach team members, fostering knowledge sharing and best practices
• Drive and enhance CI/CD pipelines (Azure DevOps), including automated testing, deployments, and rollback strategies
• Implement and enforce data security and governance frameworks, including Snowflake roles/policies and Power BI Row-Level Security (RLS)

Required Skills & Experience:

• Proven experience in data solution engineering or analytics engineering within enterprise environments
• Strong hands-on expertise in:
• Solid experience implementing Data Vault 2.0, data marts, and semantic models
• Experience in financial services or similar regulated industries
• Good understanding of CI/CD practices, ideally using Azure DevOps
• Familiarity with Azure Data Factory and/or Python is a plus
• Experience with cloud migration, particularly from on-premise data warehouses
• Comfortable working in Agile/Scrum environments
• Fluent in English; German is an advantage

ONLINE RECRUITMENT PROCESS STEPS

• Screening call with the Recruiter
• Competencies interview with Capco Hiring Manager
• Client’s interview
• Feedback / Offer

We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects.

Join Exadel as a Senior Data Engineer (Snowflake) and build scalable apps that make an impact. You’ll explore new tech, work with the latest tools, and thrive in a fast-moving Agile 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 education services provider offering online and campus-based post-secondary education, primarily serving military personnel, veterans, and public service communities. The organization delivers degree and certificate programs across disciplines such as nursing, health sciences, business, IT, and liberal arts. In addition to its headquarters in West Virginia, the customer operates facilities and partner institutions across the United States.

What You’ll Do  

• Design, implement, and maintain scalable data pipelines using Snowflake, Coalesce.io, Airbyte, and SQL Server/SSIS, with some use of Azure Data Factory
• Build and maintain dimensional data models to ensure high-quality, structured data for analytics and reporting
• Implement Medallion architecture in Snowflake, managing bronze, silver, and gold layers
• Collaborate with teams using Jira for task tracking and GitHub for code repository management
• Ensure reliable ETL processes, data transformations, and data integration workflows
• Help improve data modeling practices and address weaknesses in dimensional modeling

What You Bring  

• Hands-on experience with Snowflake, Coalesce.io, Airbyte, SQL Server/SSIS, and Azure Data Factory
• Strong understanding of Medallion architecture and dimensional data modeling
• Practical experience in building ETL pipelines and transforming data for analytics
• Familiarity with Jira and GitHub for collaborative work
• Strong analytical and problem-solving skills, with ability to collaborate across teams
• Minimum 4-hour overlap with US Eastern Time

Nice to Have

• Exposure to Power BI
• Experience with Salesforce data integration
• Background in higher education / ed-tech domains

English level 

Intermediate/Upper-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 Data Engineer (Snowflake) and build scalable apps that make an impact. You’ll explore new tech, work with the latest tools, and thrive in a fast-moving Agile 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 education services provider offering online and campus-based post-secondary education, primarily serving military personnel, veterans, and public service communities. The organization delivers degree and certificate programs across disciplines such as nursing, health sciences, business, IT, and liberal arts. In addition to its headquarters in West Virginia, the customer operates facilities and partner institutions across the United States.

What You’ll Do  

• Design, implement, and maintain scalable data pipelines using Snowflake, Coalesce.io, Airbyte, and SQL Server/SSIS, with some use of Azure Data Factory
• Build and maintain dimensional data models to ensure high-quality, structured data for analytics and reporting
• Implement Medallion architecture in Snowflake, managing bronze, silver, and gold layers
• Collaborate with teams using Jira for task tracking and GitHub for code repository management
• Ensure reliable ETL processes, data transformations, and data integration workflows
• Help improve data modeling practices and address weaknesses in dimensional modeling

What You Bring  

• Hands-on experience with Snowflake, Coalesce.io, Airbyte, SQL Server/SSIS, and Azure Data Factory
• Strong understanding of Medallion architecture and dimensional data modeling
• Practical experience in building ETL pipelines and transforming data for analytics
• Familiarity with Jira and GitHub for collaborative work
• Strong analytical and problem-solving skills, with ability to collaborate across teams
• Minimum 4-hour overlap with US Eastern Time

Nice to Have

• Exposure to Power BI
• Experience with Salesforce data integration
• Background in higher education / ed-tech domains

English level 

Intermediate/Upper-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 Data Engineer (Snowflake) and build scalable apps that make an impact. You’ll explore new tech, work with the latest tools, and thrive in a fast-moving Agile 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 education services provider offering online and campus-based post-secondary education, primarily serving military personnel, veterans, and public service communities. The organization delivers degree and certificate programs across disciplines such as nursing, health sciences, business, IT, and liberal arts. In addition to its headquarters in West Virginia, the customer operates facilities and partner institutions across the United States.

What You’ll Do  

• Design, implement, and maintain scalable data pipelines using Snowflake, Coalesce.io, Airbyte, and SQL Server/SSIS, with some use of Azure Data Factory
• Build and maintain dimensional data models to ensure high-quality, structured data for analytics and reporting
• Implement Medallion architecture in Snowflake, managing bronze, silver, and gold layers
• Collaborate with teams using Jira for task tracking and GitHub for code repository management
• Ensure reliable ETL processes, data transformations, and data integration workflows
• Help improve data modeling practices and address weaknesses in dimensional modeling

What You Bring  

• Hands-on experience with Snowflake, Coalesce.io, Airbyte, SQL Server/SSIS, and Azure Data Factory
• Strong understanding of Medallion architecture and dimensional data modeling
• Practical experience in building ETL pipelines and transforming data for analytics
• Familiarity with Jira and GitHub for collaborative work
• Strong analytical and problem-solving skills, with ability to collaborate across teams
• Minimum 4-hour overlap with US Eastern Time

Nice to Have

• Exposure to Power BI
• Experience with Salesforce data integration
• Background in higher education / ed-tech domains

English level 

Intermediate/Upper-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.

Overview: The Solution Engineer is a technically skilled professional who plays a critical role in enabling the Sales Engineering organisation to operate at maximum effectiveness. This role focuses on delivering high‑quality technical support for Sales Engineers by ensuring all assets and environments are maintained and ready for use, to advance and close opportunities efficiently. Proactively research and build innovative solutions and work closely with Solution Architects and Sales Engineers to ensure alignment, strengthen knowledge sharing and drive enablement  

What you will do:

• Collaborate with Solution Architects and Sales Engineers to identify relevant strategic solutions
• Design, build and maintain reuseable product demos, environments, solutions and technical assets
• Effectively communicate the value and/or advantages of solutions in both technical and business context
• Provide high-quality technical support to Sales and Sales Engineering as required

What we are looking for:

• Experience supporting geographically distributed Sales Engineering teams
• Proficiency in creating custom demos, POCs and technical environments
• Minimum of two-years of experience in customer-facing technical roles
• Experience using LLMs (e.g. Claude, GPT, Gemini)
• Programing experience, any language
• Knowledge of hyperscalers (AWS, GCP, Azure) and Linux/Windows
• Minimum of two-years of experience working with data-management cloud applications such as Databricks or Snowflake
• Working knowledge of data-intensive applications including Matillion, Informatica, Talend
• Familiarity with data disciplines; Governance, Quality, MDM, Observability
• Experience with major DBMS systems such as Oracle, DB2, SQL Server, Cassandra, MongoDB
• Excellent written and verbal communication skills, with the ability to translate technical concepts into customer‑friendly language
• Travel is required: No
• Bachelor of Science in Computer Science, Computer Engineering, Information Systems, Electrical Engineering, or other related technology disciplines. (Candidates with other degrees will be considered if they are able to demonstrate sufficient technical proficiency and expertise.)

#LI-SR1

Overview: The Solution Engineer is a technically skilled professional who plays a critical role in enabling the Sales Engineering organisation to operate at maximum effectiveness. This role focuses on delivering high‑quality technical support for Sales Engineers by ensuring all assets and environments are maintained and ready for use, to advance and close opportunities efficiently. Proactively research and build innovative solutions and work closely with Solution Architects and Sales Engineers to ensure alignment, strengthen knowledge sharing and drive enablement  

What you will do:

• Collaborate with Solution Architects and Sales Engineers to identify relevant strategic solutions
• Design, build and maintain reuseable product demos, environments, solutions and technical assets
• Effectively communicate the value and/or advantages of solutions in both technical and business context
• Provide high-quality technical support to Sales and Sales Engineering as required

What we are looking for:

• Experience supporting geographically distributed Sales Engineering teams
• Proficiency in creating custom demos, POCs and technical environments
• Minimum of two-years of experience in customer-facing technical roles
• Experience using LLMs (e.g. Claude, GPT, Gemini)
• Programing experience, any language
• Knowledge of hyperscalers (AWS, GCP, Azure) and Linux/Windows
• Minimum of two-years of experience working with data-management cloud applications such as Databricks or Snowflake
• Working knowledge of data-intensive applications including Matillion, Informatica, Talend
• Familiarity with data disciplines; Governance, Quality, MDM, Observability
• Experience with major DBMS systems such as Oracle, DB2, SQL Server, Cassandra, MongoDB
• Excellent written and verbal communication skills, with the ability to translate technical concepts into customer‑friendly language
• Bachelor of Science in Computer Science, Computer Engineering, Information Systems, Electrical Engineering, or other related technology disciplines. (Candidates with other degrees will be considered if they are able to demonstrate sufficient technical proficiency and expertise.)

Salary: 120 000 - 160 000 PLN gross per year - compensation is flexible and open for discussion, with the possibility of adjustment for candidates whose skills and experience strongly align with the role’s requirements

#LI-ZB1

Wolt is a technology company that makes it incredibly easy to discover and get the best restaurants, grocery stores, and other local shops delivered to home or to the office. Our local commerce platform makes it easy for customers to order whatever they need on one app, for merchants to make additional sales, and for couriers to make meaningful earnings flexibly. To enable this, Wolt develops a wide range of technologies from local commerce platform to retail software and financial solutions, as well as operates its own grocery stores under the brand Wolt Market. Wolt was founded in 2014 and joined forces with DoorDash in 2022.

Our Finance team has played a key role in our growth journey, and as we continue to scale, we are looking for an Accounts Receivable Team Lead. Reporting to the AR Manager, you will lead a multinational team of 7–8 members. Your mission is to drive the transformation of the AR function from a highly operational setup to a more automated, insight-driven organization. You will have a high level of autonomy to "build and break"—leveraging resourceful data to simplify processes and reduce manual work.

What you’ll be doing

• Lead & Develop: Foster a high-performance culture for a team of 7 people, providing coaching, clear prioritization, and leading by example.
• Portfolio Ownership: Own the AR portfolio end-to-end with full accountability for aged receivables, collections performance, and cash flow, and proactive credit risk mitigation.
• Drive Transformation: Identify automation opportunities and partner with Product, Engineering, and Data teams to implement scalable solutions.
• Strategic Collections: Design and improve scalable collections frameworks to increase efficiency and reduce overdue balances.
• Leverage Technology: Leverage data and emerging technologies (including AI tools) to improve collections and decision-making.
• Stakeholder Collaboration: Act as a key contact for Sales, Finance, and senior stakeholders, providing insights on risk and performance.
• Compliance & Excellence: Support audits and ensure strict compliance with internal controls while overseeing daily operations like cash application and dispute resolution.

Our humble expectations

• Experience: Hands-on experience in Accounts Receivable, specifically in collections and cash application processes.
• Leadership: Proven track record of leading or mentoring teams, ideally in an international or multicultural environment.
• Impact: Demonstrated ability to build or scale collections frameworks and drive process improvements that reduce manual workload.
• Technical Savvy: Advanced Google Excel and workflow automation skills, Data integration flows; while not required to build them, you can translate business needs into technical requirements for Product/Data teams.
• Mindset: A proactive, solution-oriented mindset with the ability to thrive in a fast-paced, high-growth environment.
• Communication: Fluency in English is required as you will collaborate with diverse global teams.
• Systems (Plus): Experience with NetSuite, Tableau, or automation tools (e.g., Snowflake, Make) is a significant advantage.

So, why work at Wolt? 

At Wolt, we’re about getting things done.

You’ll probably enjoy it here if you like taking ownership, developing yourself and being around friendly, humble and ambitious people.

We work hard to make cities into better places, and it’s pretty cool seeing us grow every week. If you’re passionate about building things that just… work, Wolt might be for you.

Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.

Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.

HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.

About the role: What's in the Box

The Global Data Products team is a cross-functional unit that integrates data engineers and data analysts. The objective is to establish a dependable groundwork for data-driven decision-making. This role holds significance across the organization, tasked with constructing foundational data assets and metrics.

As a Data Engineer, the service provider will collaborate to build robust and highly reliable data products using cutting-edge technologies (Snowflake, Databricks, DBT, Spark, Kafka, etc.). This involves driving continuous improvement to current data processing workflows while engaging with data producers and consumers to align business requirements with the roadmap. This role does not include people management responsibilities.

At HelloTech, flexibility and cross-functional collaboration are core to the delivery of services. While this role is aligned to a specific Alliance, strong candidates may also be considered for opportunities across different teams or projects.

What you’ll do: The Recipe

• Build and maintain complex and scalable ETL pipelines
• Work closely with the data producers and software developers
• Collaborate closely with different stakeholders such as Marketing, Product Analytics, etc.
• Drive data quality and governance 
• Collaborate with the cross-organizational data engineering chapter to adapt the latest tools and techniques to the needs of HelloFresh.
• Review as a technical expert the implementations of multiple teams, continuously improving technical deliverables.

What you’ll bring: The Ingredients 

• Agentic Engineering: Meaningful experience using AI coding agents (e.g., Claude Code, Cursor, Copilot) as part of your regular workflow. You use AI agents as thought partners to onboard on unfamiliar codebases and  navigate new areas of the code. You are developing a feel for how the way you frame tasks for AI tools affects the quality of results, and for where AI assistance needs closer supervision. You are curious about how and why AI tools fail and are building habits around verification.
• Strong understanding of engineering fundamentals and the ability to design, implement, and deliver maintainable and high-quality code.
• Strong problem-solving acumen.
• Proficiency in SQL and the Python stack.
• Strong written and verbal communication skills; the ability to build effective communication structures in a fast-growing engineering organization.
• Bonus points: Treating data quality issues as engineering problems to solve; experience debugging Spark pipelines; and demonstrated experience with data modeling techniques.
• A team player attitude and a passion for advocating for best engineering practices, such as CI/CD, TDD, and Design Patterns.

What we offer: The Toppings

• Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
• Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
• Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
• End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
• Access to workspace at Warsaw Centre Point: The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you.  We aim to review your profile and respond within 5 business days.

#DATA

Company Overview 

PandaDoc empowers more than 60,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more. For more information, please visit https://www.pandadoc.com.

What You'll Do

Experimentation & Causal Strategy

• Lead the Experimentation Roadmap: Define, champion, and execute a strategic roadmap for measuring impact across PandaDoc, focusing on high-leverage business questions related to customer workflows, churn risk, and long-term value (LTV).
• Advanced Experiment Design: Design, implement, and rigorously analyze complex A/B tests, multivariate experiments, and adaptive experimentation methods, including the application of Bayesian experimentation, to assess the effectiveness of proposed product changes and business levers.
• Causal Inference Beyond A/B: Apply advanced causal inference techniques (e.g., difference-in-differences, synthetic control, propensity score matching, and instrumental variables) to scenarios where randomized controlled trials (RCTs) are infeasible.
• Deep Dive Analysis: Conduct complex, proactive, and exploratory analysis to discover latent user behavior, emerging trends, and root causes of changes in key metrics, translating these findings into actionable product and business insights.
• Develop Measurement Frameworks: Define, instrument, and govern a unified Key Performance Indicator (KPI) framework that maps low-level product health metrics to high-level business outcomes, ensuring consistent and scalable measurement across the organization.

Technical Leadership & Influence

• Scaling Data Science: Partner with Data Engineering to design and build scalable, self-serve experimentation tooling and reusable analytical assets and frameworks (e.g., causal machine learning models) that empower other analysts and data consumers.
• Strategic Influence: Act as a strategic thinker by translating complex statistical findings into clear, compelling, and actionable business narratives for cross-functional partners and senior leadership (VP/C-suite), driving strategic decisions and investment priorities.
• Mentorship and Training: Serve as a technical subject matter expert, training and mentoring junior and mid-level data scientists on best practices in statistical rigor, experimental design, and causal modeling.

About You

Qualifications

• Experience: 6+ years of professional experience in an applied data science, economics, or product analytics role, with a proven track record of leveraging experimentation and causal inference methods to drive significant business impact.
• Education: B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative discipline. A Master’s degree in a quantitative field (e.g., Statistics, Data Science, Econometrics, Operations Research) is preferred, but not required.

Required Technical Expertise

• Causal Inference: Demonstrated expertise in applying a wide range of Causal Inference methods, e.g. Quasi-Experimentation, Matching Methods (PSM), Difference-in-Differences, and/or Instrumental Variables.
• Experimentation Methodologies: Expertise in advanced statistical methodologies for A/B testing, including sample size calculations, sequential testing, dealing with interference/network effects, variance reduction techniques (e.g., CUPED), etc.
• Deep Analytical Methods: Mastery of advanced statistical modeling, time-series analysis, and quantitative methods necessary to perform thorough exploratory data analysis, produce timely insights, and provide actionable recommendations.
• Programming: Advanced proficiency in Python or R for statistical modeling, with experience using relevant data science packages (e.g., SciKit-Learn, numpy, pandas).
• Data Tools: Expert-level proficiency in SQL and experience working with established data warehouses (e.g., Snowflake, Postgres).
• Data Pipelining: Experience with data transformation and workflow management tools such as dbt, Airflow, or Databricks is a strong plus.

Key Attributes

• Strategic Communication & Influence: Possesses exceptional communication, presentation, and data storytelling skills with a consistent record of influencing cross-functional partners and leadership at all levels, particularly in navigating and driving consensus in unstructured or ambiguous environments.
• Change Management: Proven ability to drive organizational change management in environments where experimentation and data-driven decision-making are not yet widely adopted.
• Thrive in ambiguity: Ability to navigate significant ambiguity, translate complex business questions into clear analytical frameworks, and manage multiple competing priorities in a fast-paced environment.
• Relevant Experience: Experience in a SaaS domain and a strong focus on Product Data Science are strongly preferred.

Company Culture 

We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.

Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. Our attainment of awards such as Best Workplace, Best StartUp Employer and a Stevie Award for Best Employers demonstrate our commitment to our culture.

Check out LinkedIn to learn more. 

Benefits

• Competitive salary (If you are located in Poland the salary range is 320-350 PLN annually/gross)
• Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.
• We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters).
• Work schedule aligned with EU time zones.
• Honest, open culture that values constructive feedback.
• Professional and personal development within a collaborative, supportive team.
• Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.

PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

EXTERNAL RECRUITERS
Approval Requirement
The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.

Company Overview 

PandaDoc empowers more than 60,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more. For more information, please visit https://www.pandadoc.com.

What You'll Do

Experimentation & Causal Strategy

• Lead the Experimentation Roadmap: Define, champion, and execute a strategic roadmap for measuring impact across PandaDoc, focusing on high-leverage business questions related to customer workflows, churn risk, and long-term value (LTV).
• Advanced Experiment Design: Design, implement, and rigorously analyze complex A/B tests, multivariate experiments, and adaptive experimentation methods, including the application of Bayesian experimentation, to assess the effectiveness of proposed product changes and business levers.
• Causal Inference Beyond A/B: Apply advanced causal inference techniques (e.g., difference-in-differences, synthetic control, propensity score matching, and instrumental variables) to scenarios where randomized controlled trials (RCTs) are infeasible.
• Deep Dive Analysis: Conduct complex, proactive, and exploratory analysis to discover latent user behavior, emerging trends, and root causes of changes in key metrics, translating these findings into actionable product and business insights.
• Develop Measurement Frameworks: Define, instrument, and govern a unified Key Performance Indicator (KPI) framework that maps low-level product health metrics to high-level business outcomes, ensuring consistent and scalable measurement across the organization.

Technical Leadership & Influence

• Scaling Data Science: Partner with Data Engineering to design and build scalable, self-serve experimentation tooling and reusable analytical assets and frameworks (e.g., causal machine learning models) that empower other analysts and data consumers.
• Strategic Influence: Act as a strategic thinker by translating complex statistical findings into clear, compelling, and actionable business narratives for cross-functional partners and senior leadership (VP/C-suite), driving strategic decisions and investment priorities.
• Mentorship and Training: Serve as a technical subject matter expert, training and mentoring junior and mid-level data scientists on best practices in statistical rigor, experimental design, and causal modeling.

About You

Qualifications

• Experience: 6+ years of professional experience in an applied data science, economics, or product analytics role, with a proven track record of leveraging experimentation and causal inference methods to drive significant business impact.
• Education: B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative discipline. A Master’s degree in a quantitative field (e.g., Statistics, Data Science, Econometrics, Operations Research) is preferred, but not required.

Required Technical Expertise

• Causal Inference: Demonstrated expertise in applying a wide range of Causal Inference methods, e.g. Quasi-Experimentation, Matching Methods (PSM), Difference-in-Differences, and/or Instrumental Variables.
• Experimentation Methodologies: Expertise in advanced statistical methodologies for A/B testing, including sample size calculations, sequential testing, dealing with interference/network effects, variance reduction techniques (e.g., CUPED), etc.
• Deep Analytical Methods: Mastery of advanced statistical modeling, time-series analysis, and quantitative methods necessary to perform thorough exploratory data analysis, produce timely insights, and provide actionable recommendations.
• Programming: Advanced proficiency in Python or R for statistical modeling, with experience using relevant data science packages (e.g., SciKit-Learn, numpy, pandas).
• Data Tools: Expert-level proficiency in SQL and experience working with established data warehouses (e.g., Snowflake, Postgres).
• Data Pipelining: Experience with data transformation and workflow management tools such as dbt, Airflow, or Databricks is a strong plus.

Key Attributes

• Strategic Communication & Influence: Possesses exceptional communication, presentation, and data storytelling skills with a consistent record of influencing cross-functional partners and leadership at all levels, particularly in navigating and driving consensus in unstructured or ambiguous environments.
• Change Management: Proven ability to drive organizational change management in environments where experimentation and data-driven decision-making are not yet widely adopted.
• Thrive in ambiguity: Ability to navigate significant ambiguity, translate complex business questions into clear analytical frameworks, and manage multiple competing priorities in a fast-paced environment.
• Relevant Experience: Experience in a SaaS domain and a strong focus on Product Data Science are strongly preferred.

Company Culture 

We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.

Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. Our attainment of awards such as Best Workplace, Best StartUp Employer and a Stevie Award for Best Employers demonstrate our commitment to our culture.

Check out LinkedIn to learn more. 

Benefits

• Competitive salary (If you are located in Poland the salary range is 320-350 PLN annually/gross)
• Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.
• We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters).
• Work schedule aligned with EU time zones.
• Honest, open culture that values constructive feedback.
• Professional and personal development within a collaborative, supportive team.
• Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.

PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

EXTERNAL RECRUITERS
Approval Requirement
The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.

The Senior Data Operations Engineer will support the management and optimization of the company’s data systems and processes, reporting directly to the Data Operations Lead.

This role requires a technically proficient individual with strong analytical skills to ensure data integrity, accessibility, and security across the data platform. The ideal candidate will have hands-on experience in data management, a keen eye for detail, and the ability to work collaboratively with different stakeholders.

✅ Responsibilities:

Data Management and Maintenance

• Assist in developing and enforcing policies for effective data management.
• Ensure data accuracy, consistency, and security through regular maintenance and monitoring.
• Support the implementation of data quality standards and maintain data governance practices.

Operations Support

• Manage and optimise data pipelines and ETL processes to ensure smooth and efficient workflows.
• Troubleshoot and resolve data-related issues promptly to minimise downtime.
• Monitor the availability and performance of data systems and tools, ensuring they meet operational standards.

Collaboration and Communication

• Work closely with the Data Operations Lead, Data Engineering, Business Intelligence, Analytics, and Business teams to support data initiatives.
• Collaborate with vendors and partners for data-related services as directed by the Data Operations Lead.
• Communicate effectively with team members and stakeholders to ensure alignment on data projects and initiatives.

Compliance and Security

• Assist in ensuring compliance with various jurisdictions and regulations, as well as industry best practices.
• Implement and maintain data security measures to protect sensitive information.
• Participate in regular audits and assessments to identify and mitigate risks.

Day-to-Day Activities

• Check the status of data jobs to ensure they are running as expected and troubleshoot any issues.
• Monitor and maintain data pipelines, ensuring data flows smoothly between systems.
• Conduct data verification and integrity checks to maintain high data quality and accuracy.
• Perform reconciliations across various data sources to identify and resolve discrepancies.
• Proactively perform data audits to ensure data accuracy and compliance.
• Suggest and build improvements in data accuracy and reconciliation frameworks.
• Work collaboratively with the data team to address any operational challenges and support data-driven initiatives.

On-Call Rotations

• On-Call Rotations - During specific weeks, you need to be available 24/7 in case of incidents.

✅ Requirements:

• At least 3 years of Python engineering experience;
• At least 2 years of experience with SQL;
• 1+ years of experience in data management and data operations roles.
• Proficiency in SQL, Python, or other data manipulation languages.
• Experience with cloud data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
• Familiarity with ETL tools (e.g., Apache NiFi or Airflow).
• Knowledge of cloud platforms (AWS, Azure, Google Cloud).
• Strong problem-solving skills and attention to detail.
• At least 1 year of experience in PowerBI (or similar);
• Excellent communication and teamwork skills.

Nice to have:

• Experience with data quality management.
• Experience working with agile.
• Understanding of data governance frameworks and practices.
• Certifications in relevant data management or cloud platform technologies.

✅ We offer excellent benefits, including but not limited to:

🚀 Career growth opportunities in an international and dynamic environment;
📚 Opportunity to develop language skills with partial compensation for language courses;
🎁 Special gifts for birthdays, weddings, and newborns;
🏝️ 20 working days of paid annual vacation, plus paid sick leaves;
🍲 Office snacks and refreshments;
🏋️‍♂️ Sports package to support a healthy lifestyle;
🩺 Comprehensive medical insurance for you and your partner;
📍 Comfortable office with great facilities in a prime location;
 🎉 Exciting corporate events, team-building activities, and international company parties.

❗️IMPORTANT: This position is office based for our office in Warsaw, Poland.

❗️We can provide relocation assistance if you're outside of the city or country.

We are seeking a highly skilled Data Engineer with expertise in managing, designing, and optimizing data pipelines utilizing Apache Airflow, Snowflake, and Apache Kafka.
This individual will play a pivotal role in architecting robust, scalable, and efficient data solutions, ensuring the integrity, reliability, and accessibility of our data infrastructure

✅ Responsibilities:

• Develop and implement data models to support business requirements, optimizing for performance and scalability;
• Design, build, and maintain scalable data pipelines using Apache Airflow;
• Implement and maintain Kafka-based streaming data pipelines for real-time data processing and integration with various systems;
• Integration to third party databases and APIs;
• Establish monitoring, alerting, and maintenance procedures to ensure the health and reliability of data pipelines;
• Collaborate with cross-functional teams including data scientists, analysts, and stakeholders to understand data requirements.
  
  

✅ Requirements:

• Proficiency in Python, SQL, and experience with data manipulation and transformation;
• Data warehouse and data modeling techniques;
• Experience in designing, building, and maintaining complex data pipelines using Airflow;
• Proven track record in data engineering roles, with a focus on designing and implementing scalable data solutions using Snowflake or Redshift;
• In-depth understanding and practical experience in implementing Kafka-based streaming architectures for real-time data processing.
  
  

✅ We offer excellent benefits, including but not limited to:

✔️Career growth opportunities in an international and dynamic environment;

✔️Opportunity to develop language skills with partial compensation for language courses;

✔️Special gifts for birthdays, weddings, and newborns;

✔️20 working days of paid annual vacation, plus paid sick leaves;

✔️Office snacks and refreshments;

✔️Sports package to support a healthy lifestyle;

✔️Comprehensive medical insurance for you and your partner;

✔️Comfortable office with great facilities in a prime location;

✔️Exciting corporate events, team-building activities, and international company parties.

This role is designed for a "Hub-and-Spoke" organizational model. The Head of Data will not manage the day-to-day tickets of embedded analysts but will own the Data Strategy, Infrastructure, and Standards that allow those analysts to be successful and consistent across the company.

Role Mission

As the Head of Data, the mission is to transform a decentralized data landscape into a unified, high-performance ecosystem. Head of Data will bridge the gap between autonomous product squads and a centralized data vision. Head of Data is the architect of our data culture, ensuring that while analysts sit within different business units, they operate with a common language, world-class tools, and uncompromised data integrity.

Key Responsibilities

Strategic Leadership & Governance

• Unified Data Strategy: Define and execute a global data roadmap that aligns with company-wide OKRs.
• Standardization: Define universal metrics (e.g., "Active User," "Revenue") to ensure a single source of truth across all departments.
• Data Governance: Set policies for data privacy, security, and compliance (GDPR) without bottlenecking the speed of the product teams.

Platform & Infrastructure

• Modern Data Stack: Own the selection and maintenance of our data warehouse (e.g., Snowflake/Redshift), transformation layers (dbt), and BI tools (Looker/Tableau).
• Data Engineering Oversight: Lead the core data engineering efforts to ensure a robust ETL/ELT pipeline that serves the decentralized "spokes."
• Self-Service Enablement: Build the infrastructure that allows non-technical stakeholders to access insights without needing an analyst for every query.

Functional Excellence & Community

• The Data Guild: Create and lead a "Data Guild" or "Community of Practice" to facilitate knowledge sharing, peer reviews, and mentorship among embedded analysts.
• Talent Bar: Define the hiring standards, leveling rubrics, and career paths for all data roles across the company. 
• Best Practices: Drive the adoption of version control (Git), documentation, and automated testing (Data Quality) within the analytic workflows.

Business Impact & Culture

• Data Literacy: Act as an evangelist for data-driven decision-making, coaching C-suite and Product Leads on how to better leverage data.
• Resource Allocation: Partner with Department Leads to identify where data gaps exist and advocate for the placement of analysts in the highest-impact areas.

Key Requirements

Strategic Leadership & Organizational Design

• Architectural Strategy: 6+ years of experience in Data/Analytics, with a proven track record of scaling "Hub-and-Spoke" or Data Mesh models. Demonstrated ability to balance centralized governance with decentralized execution speed.
• Strategic Influence: Proven ability to influence and align senior stakeholders (C-level, Product Leads) who do not have a direct reporting line to this role. Ability to lead through expertise and professional authority.
• Data-as-a-Product Mindset: A strategic approach to treating the data platform, tooling, and core datasets as internal products, where embedded analysts and business units are the primary customers.
• Change Management: Experience in leading organizational transitions (e.g., from centralized to decentralized) and establishing a high-performance data culture across distributed teams.

Technical Excellence & Methodology

• AI Modernization & Tooling: Lead the evaluation and strategic implementation of cutting-edge AI-driven data extraction solutions, ensuring selected technologies align with cross-departmental requirements and scale seamlessly across the organization’s data infrastructure.
• Modern Data Stack Mastery: Expert-level knowledge of cloud data warehousing (e.g., Snowflake, Redshift), transformation layers (dbt), and orchestration.
• Advanced Analytics & Modeling: Proficiency in SQL and Python/R for complex data modeling and predictive analytics. Deep understanding of version control (Git) and CI/CD practices in data workflows.
• Statistical Rigor & Experimentation: Extensive experience in designing and analyzing A/B tests, causal inference, and applying advanced statistical methods to drive business decisions.
• Operational Intelligence: Background in high-scale operational analytics, including forecasting, capacity planning, efficiency analysis, and automated quality assurance.

Functional Management & Governance

• Talent Development & Bar Raising: Experience in defining hiring standards, career frameworks, and mentorship programs for Data Analysts and Data Scientists.
• Data Governance & Quality: Proven ability to establish global data standards, master data management, and unified metric definitions to ensure a "Single Source of Truth" across the organization.
• Storytelling & Communication: Exceptional ability to translate complex technical findings into persuasive, executive-level narratives that drive operational and strategic improvements.
• Pragmatic Problem Solving: A results-oriented mindset with the ability to bridge the gap between high-level data science and pragmatic, actionable business solutions.

What we believe

At TransferGo, we offer competitive rewards to all people. We know that recognition is about more than just money, and we’ve fostered a culture of kudos to shine a light on the great work throughout the business, and the people making it all happen. We hold regular in-person events to connect with each other and help all our TransferNauts to grow with a generous training allowance. We believe that empowering people makes for a happier and more effective workforce. This means we enable anyone who wants to pursue initiatives that deliver real value for our migrant customers. 

What We Offer:

• Competitive Salary: Starting from 19 930-29 920 PLN (gross) per month, depending on experience. Salary is just one part of the conversation – if you’re excited about the role but the range feels slightly off, don’t hesitate to apply. We’re open to discussing based on your experience and potential.
• Comprehensive Benefits: Including a generous holiday allowance, competitive healthcare insurance, and a wellbeing package from day one.
• Annual Development Budget: €1,000 to invest in your personal and professional growth.
• Hybrid Working Environment: Flexibility to work from home and in the office, with most team members in the office two days a week.
• Pet-Friendly Office: If you’re near one of our offices, bring your furry friend along!
• Inclusive Culture: Regular in-person events, fostering a strong sense of community and collaboration.
• Empowerment and Ownership: We believe in empowering our people to take initiative and drive meaningful change.

As Marqeta’s  Workforce Management Lead, you will leverage your expertise in operational forecasting to build and own workforce planning, optimizing staffing and resource allocation across our fintech operations (BPO and internal teams). This role requires a proactive, data-driven professional who can drive operational rigor across multiple value-added services, including dispute handling, fraud operations, and contact center support, deliver accurate capacity planning in a fast-paced, dynamic environment and serve as a trusted advisor to our operations leaders.  As a new internal function, you will have strong influence in how WFM is developed within Marqeta.

This role will be performed in a hybrid work model (Tuesday, Thursday onsite) from our Warsaw office.  We’d love for you to join us!

The Impact You’ll Have

• Develop and maintain short- and long-term capacity plans for multiple customer-facing teams, including specialized dispute handling, chargebacks and contact center inquiries. In the future, further develop capacity models for resourcing of collections agents or in house QA teams
• Analyze historical data, business trends and forecast inputs to replace fragmented spreadsheets and create scalable systems for accurate volume forecasts and actionable staffing models that account for seasonal patterns, product launches, and regulatory requirements
• Drive strong WFM operational rigor across our BPO vendor and the various value added services, ensuring alignment on forecasting methodology, service level expectations and reporting standards
• Collaborate to design optimal staff schedules and manage real-time adherence, proactively identifying performance risks and recommending intraday adjustments to meet service level agreements
• Partner with cross-functional stakeholders (Operations, Finance, Go To Market, Training, QA) to understand business drivers, nuances within the operation, upcoming initiatives and volume impacts, translating them into workforce requirements, approved OTP for training and budget alignment; able to model multiple resulting scenarios to support informed decision-making, including tradeoffs
• Develop north star expectations for efficiency/productivity in our operations.  Monitor and analyze key contact center metrics (AHT, shrinkage, occupancy, service level, adherence, abandonment rates) specific to fintech operations and dispute resolution patterns
• Present capacity insights, staffing recommendations, and performance analysis to leadership
• Optimize multi-skill routing strategies and resource allocation across channels (phone, chat, email) to maximize efficiency and meet customer service objectives
• Continuously improve planning processes, tools, and reporting methodologies to drive greater forecast accuracy, operational efficiency, and planning sophistication. Influence Product/Eng roadmaps for agent system productivity/efficiency metrics
• Collaborate with BPO Workforce Management and MQ Operations and Finance teams to align on headcount planning, hiring timelines, budget allocation, and long-term capacity strategy
• Develop systems to oversee and ensure BPO billing accuracy across hiring, training and production delivery

Who You Are

• Bachelor degree or equivalent education
• 5+ years of experience in workforce management, capacity planning, or advanced business analytics within a fast-paced, service-oriented environment
• 3+ years in fintech, banking, payments or financial services operations
• Proven experience with dispute handling forecasting (chargebacks, fraud claims, payment disputes) and contact center operations & service KPIs
• Experience managing or coordinating BPO partners and various geographical sites
• Strong communication and collaboration skills
• Capable of operating autonomously and without an existing WFM playbook

Nice-To-Haves

• Experience with Snowflake, Datadog or advanced analytics (knowledge of SQL, Python, or experience analyzing CRM data like Salesforce or Zendesk or telephony data like Amazon Connect is a strong advantage)
• Knowledge of financial regulations (Reg E, Reg Z, ACH rules, card network guidelines)
• Familiarity with omnichannel forecasting (phone, chat, email, social media)
• CWPP (Certified Workforce Planning Professional) or similar certification
• Experience managing remote or distributed teams across multiple geographies
• Experience with early-stage organizations, building systems and tooling from the ground up; you’re motivated by building a foundation for future scale

Your Manager

• Katie Clark, Head of Partner Operations & Experience Transformation

Recruiter For This Role

• Agata Wojciechowska 

Typical Process

• Application Submission
• Recruiter phone call
• Hiring manager video call
• Virtual “Onsite” consisting of 4-5, 45 min calls
• Offer!

Compensation and Benefits

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position, reflected in PLN,  is: 232,000 - 290,000. The bonus target for this position is 15% of the applicable base salary, subject to the plan terms and meeting eligibility requirements.

Along with monetary compensation, Marqeta offers:

• Monthly stipend for your home office equipment and connectivity
• Annual development stipend to support your growth and development
• Pension Scheme provided by Allianz
• Employee health through Luxmed with employee cover paid at 100% by Marqeta
• Four floating holidays as additional paid days off to your annual leave entitlement
• In-office amenities including: drinks and snacks, wellness room, dedicated barista, community events onsite
• MultiSport Plus membership offerings

As Marqeta’s  Workforce Management Lead, you will leverage your expertise in operational forecasting to build and own workforce planning, optimizing staffing and resource allocation across our fintech operations (BPO and internal teams). This role requires a proactive, data-driven professional who can drive operational rigor across multiple value-added services, including dispute handling, fraud operations, and contact center support, deliver accurate capacity planning in a fast-paced, dynamic environment and serve as a trusted advisor to our operations leaders.  As a new internal function, you will have strong influence in how WFM is developed within Marqeta.

This role will be performed in a hybrid work model (Tuesday, Thursday onsite) from our Warsaw office.  We’d love for you to join us!

The Impact You’ll Have

• Develop and maintain short- and long-term capacity plans for multiple customer-facing teams, including specialized dispute handling, chargebacks and contact center inquiries. In the future, further develop capacity models for resourcing of collections agents or in house QA teams
• Analyze historical data, business trends and forecast inputs to replace fragmented spreadsheets and create scalable systems for accurate volume forecasts and actionable staffing models that account for seasonal patterns, product launches, and regulatory requirements
• Drive strong WFM operational rigor across our BPO vendor and the various value added services, ensuring alignment on forecasting methodology, service level expectations and reporting standards
• Collaborate to design optimal staff schedules and manage real-time adherence, proactively identifying performance risks and recommending intraday adjustments to meet service level agreements
• Partner with cross-functional stakeholders (Operations, Finance, Go To Market, Training, QA) to understand business drivers, nuances within the operation, upcoming initiatives and volume impacts, translating them into workforce requirements, approved OTP for training and budget alignment; able to model multiple resulting scenarios to support informed decision-making, including tradeoffs
• Develop north star expectations for efficiency/productivity in our operations.  Monitor and analyze key contact center metrics (AHT, shrinkage, occupancy, service level, adherence, abandonment rates) specific to fintech operations and dispute resolution patterns
• Present capacity insights, staffing recommendations, and performance analysis to leadership
• Optimize multi-skill routing strategies and resource allocation across channels (phone, chat, email) to maximize efficiency and meet customer service objectives
• Continuously improve planning processes, tools, and reporting methodologies to drive greater forecast accuracy, operational efficiency, and planning sophistication. Influence Product/Eng roadmaps for agent system productivity/efficiency metrics
• Collaborate with BPO Workforce Management and MQ Operations and Finance teams to align on headcount planning, hiring timelines, budget allocation, and long-term capacity strategy
• Develop systems to oversee and ensure BPO billing accuracy across hiring, training and production delivery

Who You Are

• Bachelor degree or equivalent education
• 5+ years of experience in workforce management, capacity planning, or advanced business analytics within a fast-paced, service-oriented environment
• 3+ years in fintech, banking, payments or financial services operations
• Proven experience with dispute handling forecasting (chargebacks, fraud claims, payment disputes) and contact center operations & service KPIs
• Experience managing or coordinating BPO partners and various geographical sites
• Strong communication and collaboration skills
• Capable of operating autonomously and without an existing WFM playbook

Nice-To-Haves

• Experience with Snowflake, Datadog or advanced analytics (knowledge of SQL, Python, or experience analyzing CRM data like Salesforce or Zendesk or telephony data like Amazon Connect is a strong advantage)
• Knowledge of financial regulations (Reg E, Reg Z, ACH rules, card network guidelines)
• Familiarity with omnichannel forecasting (phone, chat, email, social media)
• CWPP (Certified Workforce Planning Professional) or similar certification
• Experience managing remote or distributed teams across multiple geographies
• Experience with early-stage organizations, building systems and tooling from the ground up; you’re motivated by building a foundation for future scale

Your Manager

• Katie Clark, Head of Partner Operations & Experience Transformation

Recruiter For This Role

• Agata Wojciechowska 

Typical Process

• Application Submission
• Recruiter phone call
• Hiring manager video call
• Virtual “Onsite” consisting of 4-5, 45 min calls
• Offer!

Compensation and Benefits

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position, reflected in PLN,  is: 232,000 - 290,000. The bonus target for this position is 15% of the applicable base salary, subject to the plan terms and meeting eligibility requirements.

Along with monetary compensation, Marqeta offers:

• Monthly stipend for your home office equipment and connectivity
• Annual development stipend to support your growth and development
• Pension Scheme provided by Allianz
• Employee health through Luxmed with employee cover paid at 100% by Marqeta
• Four floating holidays as additional paid days off to your annual leave entitlement
• In-office amenities including: drinks and snacks, wellness room, dedicated barista, community events onsite
• MultiSport Plus membership offerings

About Shelf

The enterprise is going agentic — but most AI agents fail when they hit real business complexity. Shelf is changing that.

We’ve built the operating system for agentic AI: a platform that models your policies, workflows, and operational logic into an AI Data Model so agents don’t just respond — they reason. The result? AI that understands how your business actually runs and delivers precise, compliant, auditable outcomes at scale.

Brands like Amazon, Nespresso, HelloFresh, and KeyBank trust Shelf to power AI agents that resolve 85% of cases autonomously, cut handle times by 20–25%, and turn hours-long processes into seconds. We’re partnered with Microsoft, Salesforce, OpenAI, Snowflake, and Databricks — and recognized by Gartner (Cool Vendor) and IDC (Innovator) for our approach.

If you want to sell the infrastructure that makes agentic AI actually work in the enterprise, you’re in the right place.

Our mission is to empower humanity with better answers everywhere.

Senior Frontend React Developer:

As a Frontend Engineer at Shelf, you'll craft the interfaces that make enterprise AI accessible and trustworthy. While others are building chatbots, we're solving the harder problem: how do you build UIs that help users confidently navigate AI-powered systems processing millions of documents, while maintaining enterprise-grade reliability?

You won't just build React components — you'll architect production-ready Next.js applications that handle high-load scenarios with complex states, real-time AI streaming, and multiple layers of enterprise functionality. Every interface decision you make directly impacts how knowledge workers at the biggest companies in the market interact with their most critical information.

This is frontend engineering at its most demanding. You'll tackle challenges like building real-time streaming interfaces for LLM responses, architecting state management for concurrent AI operations across multiple tenants, creating accessible interfaces for complex knowledge graphs with thousands of nodes, and ensuring blazing fast interactions even with petabytes of searchable content. Your components will bridge everything from enterprise authentication systems to cutting-edge AI models, requiring both sophisticated technical skills and sharp product instincts.

We obsess over frontend quality because we're building the trust layer for AI itself. When your interfaces gracefully handle edge cases, provide clear feedback during AI processing, and remain performant under load, you're not just meeting UX standards - you're directly enabling users to trust AI-powered answers and make critical business decisions with confidence.

You'll work on production SSR applications serving thousands of enterprise users, implementing localization for global markets, ensuring accessibility compliance, and maintaining security standards that pass SOC 2 audits. Your code will integrate with our Elasticsearch clusters, DynamoDB tables, and Aurora PostgreSQL databases through the largest park of REST APIs, handling real-time websocket updates for AI streaming and collaborative features.

We're a product company that ships fast without compromising on lasting quality. You'll work alongside proactive, ever-learning engineers who actively use AI coding assistants (OpenAI Codex, Claude Code) to accelerate development. We build custom MCP servers, implement DSPy pipelines for LLM optimization, and experiment with different AI tools for implementation. In our environment, AI isn't just what we build — it's how we build.

The best engineers we know are drawn to problems that matter. If you're excited by the challenge of building interfaces that make the AI revolution actually usable and trustworthy for enterprise users, this role offers the rare combination of technical depth, meaningful impact, and the prestige of solving UX patterns that the industry hasn't figured out yet.

Responsibilities

• Design and implement production-ready Next.js SSR applications with complex state management, handling high-load scenarios and real-time AI interactions at scale
• Build interfaces for AI-powered features including streaming LLM responses, semantic search across millions of documents, interactive knowledge graphs, intelligent content recommendations, and AI agentic builders
• Architect component libraries and maintain our design system in Storybook, ensuring reusability, accessibility, and consistent UX patterns across the platform
• Develop enterprise-grade functionality including multi-language support, accessibility compliance, cross-browser compatibility, and security implementations that meet SOC 2 standards
• Create comprehensive technical specifications and component API designs that clearly communicate interface decisions, performance trade-offs, and accessibility considerations
• Build and optimize data-heavy UIs using React Flow for node-based graphs, Highcharts for analytics visualizations, and custom virtualization for handling large datasets
• Instrument components for performance monitoring, track Core Web Vitals, implement error boundaries, and build automated visual regression tests with Playwright
• Take full ownership of the features you build, monitoring their performance in production, optimizing bundle sizes, and ensuring they scale gracefully as user load grows
• Work with SWR for intelligent data fetching, caching, and revalidation strategies that minimize API calls while keeping UIs responsive and data fresh
• Integrate with backend services via REST APIs, handle websocket connections for real-time updates, and implement optimistic UI patterns for seamless user experiences
• Leverage AI coding assistants to accelerate development while maintaining high code quality, and contribute to building internal AI agents that automate frontend workflows
• Stay current with React ecosystem best practices, Next.js updates, AI UX patterns, and modern frontend architecture—experiment with new approaches and share findings with the team
• Contribute to our engineering standards and practices through thoughtful code reviews, mentor colleagues on frontend best practices, and actively participate in our culture of continuous learning

Requirements

• Over 5 years of professional frontend engineering experience, including more than 3 years specializing in React and modern JavaScript/TypeScript
• Production Next.js experience - you've built and shipped SSR applications at scale, understand app router patterns, server components, and the trade-offs between SSR, SSG, and CSR
• Deep TypeScript expertise - you write type-safe code with generics, utility types, and advanced patterns. 
• Complex state management - hands-on experience architecting state solutions for challenging scenarios: real-time collaboration, optimistic updates, multi-tenant data isolation, and large-scale data synchronization
• Enterprise application development - you've built applications with localization (i18n), accessibility, security best practices, and compliance requirements. You understand the complexity beyond "making it work"
• AI/LLM interface experience - you've built interfaces for AI-powered features: streaming token responses, chat UIs, semantic search, or similar real-time AI interactions
• High-load optimization - proven track record optimizing applications for performance under heavy traffic, large datasets, and concurrent operations. You monitor Core Web Vitals and know how to improve them
• Modern CSS mastery - strong expertise with Tailwind CSS and/or CSS-in-JS solutions. You can implement pixel-perfect designs while maintaining responsive layouts and dark mode support
• Write well-structured, testable code with thoughtful component abstractions and clean APIs. You know when to abstract and when to keep it simple
• Strong problem-solving skills and genuine curiosity - you don't wait for designs to be perfect but proactively identify UX issues and propose solutions. You're never satisfied with "good enough" and constantly refine your craft
• Experience with AI coding assistants (OpenAI Codex, Claude, etc.) and eagerness to push the boundaries of AI-assisted development. Part of this role involves creating AI agents to automate portions of the frontend workflow
• Familiarity with observability and monitoring tools like Datadog, Sentry, or similar platforms for tracking frontend performance and errors in production
• Upper-Intermediate or better English skills for technical communication, documentation, and collaborating with distributed teams
• Present your work effectively both verbally and visually - you can articulate design decisions, create component documentation, and explain technical trade-offs clearly

Be a Plus:

• Experience with React Flow, Highcharts, or other complex data visualization libraries
• Understanding of Node.js/Python/backend fundamentals - you can read backend code and contribute to API design discussions
• Experience with SWR, React Query, or similar data fetching libraries
• Hands-on experience with vector search UIs, RAG interfaces, or semantic search implementations
• Familiarity with MCP (Model Context Protocol), DSPy, or other cutting-edge AI frameworks
• Experience with monorepo tools (Lerna, Turborepo, Nx) and managing shared component libraries
• AWS services knowledge (S3, CloudFront, Lambda) and understanding of serverless architectures
• Built or contributed to design systems or open-source component libraries
• Experience with Playwright, Puppeteer, or Cypress for comprehensive E2E testing
• Experience building AI agent interfaces or agentic AI workflows

What Shelf Offers:

• B2B contract
• Company Stock Options
• Hardware: MacBook Pro
• Modern technical stack. Develop open-source software
• Premier AI development environment: GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, v0, MCP Servers, plus credits for experimenting with emerging AI tools

Why Shelf

• Our Leadership Team has deep knowledge management and AI domain expertise and enterprise SaaS background to execute this plan
• We love our customers and our customers love us. Ask a Shelf customer why, and they’ll tell you it’s because of our innovative capabilities, rock-solid reliability, they truly enjoy working with our people, but most of all – it’s the improvements they see in their business KPIs.
• We have raised over $60 million in funding and our investors include Tiger Global, Insight Partners, Connecticut Innovations, and others
• We have high velocity growth powered by the most innovative product in our category, 3X growth for 3 years in a row
• We now have over 100 employees in multiple U.S. states and European countries, and we have ambitious hiring goals over the next few months

Our Values:

Quality - We’re united by our focus on world‑class Quality. Quality in all things – starting with everything that leaves your desk. Everything you touch – every email, report, campaign, and piece of code – should be outstanding. Your work product should blow people away. Having people look at what you’ve done and say, “Wow.” That’s the standard here. Remember that how you do anything is how you do everything. Focus on craftsmanship—your ability to make things better.

Momentum - for us means that you should know that the things you’re responsible for are moving forward. When you look around and see something that’s stalled, get it moving again. We pride ourselves on “ball movement.” When your boss or team leaves you with something, they should return to see measurable progress. Small, continuous movement is our recipe for success. Constantly look for how to make the work around you move forward. We want you to initiate solutions, ideas, and progress. Don’t wait for it to come to you—reach out and create movement. All the time.

Accountability - We expect every team member to feel that they are accountable for more than anyone might normally expect. Each of us should feel real responsibility for things even at the edge of our control. We consistently share and align on expectations, give each other open and respectful feedback, and use those two drivers to ensure that every agreement we make with one another is clear and complete.

Hard Work - We’re here to do something difficult together. We care intensely about the mission and we expect that from our teammates. That care means that we work hard here. Hard work comes with long hours, extra effort…and real opportunity at Shelf. Your passion for creating and sustaining output is a part of our DNA. Support each other, cheer each other on, drive the mission forward. Great teams sustain intense effort together to win.

Learning Agility - We’re innovating in one of the fastest‑moving spaces in history at a time of accelerating global change. That’s incredibly exciting and requires each of us to commit fully to learning each and every day so that we can be the best at what we do. None of us know everything. All of us can learn anything. Staying open and constantly curious is a key success driver at Shelf. It also requires humility. We prize people who are consistently humble and open to making mistakes and growing from them. Recognize also that learning itself is a skill…we need you to be really good at it. Keep dialing in your own understanding about how you learn best and push yourself to keep growing.

Adapt and Thrive - Overcoming challenges lives deep in our DNA. We have a proud history of understanding and living the reality that obstacles are our opportunities…they’re the key to our success. Change is a constant in our business and fighting change is counterproductive. We need you to be good at being uncomfortable and understand that discomfort is the key to growth. Cultivate your own ability to adapt and know that struggling well is something you’ll share with every team you’re on at Shelf. Our company stories are about thriving through real difficulty…together.

Win Together - We win or lose as a team. Always. Everything you do here is connected to the rest of the organization. Part of our shared team environment demands full honesty…real candor and directness with one another. We expect you to constantly be thinking about how to support your teammates and the company, always acting in service to our shared mission and what’s best for the organization as a whole.

About Shelf

The enterprise is going agentic — but most AI agents fail when they hit real business complexity. Shelf is changing that.

We’ve built the operating system for agentic AI: a platform that models your policies, workflows, and operational logic into an AI Data Model so agents don’t just respond — they reason. The result? AI that understands how your business actually runs and delivers precise, compliant, auditable outcomes at scale.

Brands like Amazon, Nespresso, HelloFresh, and KeyBank trust Shelf to power AI agents that resolve 85% of cases autonomously, cut handle times by 20–25%, and turn hours-long processes into seconds. We’re partnered with Microsoft, Salesforce, OpenAI, Snowflake, and Databricks — and recognized by Gartner (Cool Vendor) and IDC (Innovator) for our approach.

If you want to sell the infrastructure that makes agentic AI actually work in the enterprise, you’re in the right place.

Our mission is to empower humanity with better answers everywhere.

Summary

The R&D department plays a pivotal role in driving Shelf to disrupt the market. We are looking for Machine Learning experts that are able to deliver end to end with a blend of experience: Python engineering, ML engineering, and pragmatic Data science and Machine learning research. You will ship end-to-end features—from problem framing and experimentation to service deployment, and ongoing operations—quickly and with high quality. Your work will power ML- and LLM-driven services used by top enterprises like Amazon, Mayo Clinic, AmFam, and Nespresso.

This role requires strong Python engineering capabilities coupled with a strong ability to deliver robust ML solutions, along with ML research literacy to choose sound methodologies, define metrics, and evaluate different approaches effectively.

You’ll work in an agile environment, move fast, and own what you ship.

Responsibilities

• Own end-to-end delivery: ideate, research, prototype, productionize, and operate ML-powered services with an expectation to iterate and ship frequently
• Stand up robust training/evaluation pipelines: dataset curation, labeling/feedback loops, experiment tracking, offline/online metrics, and A/B testing
• Solve problems using sound methodology, evaluate approaches along with 
• Transform ML models and LLM workflows (including RAG) into reusable, versioned, observable production services with CI/CD
• Collaborate with Product Owners to shape our product and requirements
• Conduct and receive code reviews; champion engineering excellence, testing discipline, and documentation
• Leverage AI coding assistants to accelerate development and create internal agents that automate parts of the engineering workflow
• Share learnings through demos, docs, and knowledge sessions; contribute to a culture of continuous improvement

Requirements

• 3+ years of professional experience researching and shipping ML-based solutions, with strong Python skills and a track record of delivering fast without sacrificing quality
• Proven experience in owning research problems end-to-end, starting from initial data analysis, through iterative research phases to delivering on production
• Practical NLP/LLM experience: transformers, embeddings, prompt design, and evaluation; ability to choose and justify metrics and methodologies
• Strong backend fundamentals: designing RESTful services, schema design, data modeling, and performance tuning for SQL and NoSQL stores
• Data processing skills: pandas/NumPy; experience with batch/stream processing and ETL orchestration (e.g., Airflow, Step Functions)
• Strong English verbal and written communication

As a plus

• LLM ops and safety: eval frameworks (e.g., RAGAS), guardrails, red-teaming, prompt optimization at scale
• Model optimization: quantization, distillation, pruning; GPU/accelerator-aware serving
• Experience with AWS ML stack (SageMaker, Batch, Step Functions, Lambda, SQS/SNS, DynamoDB, ECS, EC2, S3)
• Vector databases and search: Pinecone, Elasticsearch, pgvector, FAISS, or DeepLake
• Background in reinforcement learning, agent frameworks, or autonomous agents
• Publications, open-source contributions, GitHub portfolio

What Shelf Offers

• B2B contract
• Company Stock Options
• Hardware: MacBook Pro
• Modern technical stack. Develop open-source software
• Premier AI development environment: GitHub Copilot, Claude Code, OpenAI, TypingMind, v0, MCP Servers, plus credits to experiment with emerging AI tools

Why Shelf

• Our Leadership Team has deep knowledge management and AI domain expertise and enterprise SaaS background to execute this plan
• We love our customers and our customers love us. Ask a Shelf customer why, and they’ll tell you it’s because of our innovative capabilities, rock-solid reliability, they truly enjoy working with our people, but most of all – it’s the improvements they see in their business KPIs.
• We have raised over $60 million in funding and our investors include Tiger Global, Insight Partners, Connecticut Innovations, and others
• We have high velocity growth powered by the most innovative product in our category, 3X growth for 3 years in a row
• We now have over 100 employees in multiple U.S. states and European countries, and we have ambitious hiring goals over the next few months

Our Values:

Quality - We’re united by our focus on world‑class Quality. Quality in all things – starting with everything that leaves your desk. Everything you touch – every email, report, campaign, and piece of code – should be outstanding. Your work product should blow people away. Having people look at what you’ve done and say, “Wow.” That’s the standard here. Remember that how you do anything is how you do everything. Focus on craftsmanship—your ability to make things better.

Momentum - for us means that you should know that the things you’re responsible for are moving forward. When you look around and see something that’s stalled, get it moving again. We pride ourselves on “ball movement.” When your boss or team leaves you with something, they should return to see measurable progress. Small, continuous movement is our recipe for success. Constantly look for how to make the work around you move forward. We want you to initiate solutions, ideas, and progress. Don’t wait for it to come to you—reach out and create movement. All the time.

Accountability - We expect every team member to feel that they are accountable for more than anyone might normally expect. Each of us should feel real responsibility for things even at the edge of our control. We consistently share and align on expectations, give each other open and respectful feedback, and use those two drivers to ensure that every agreement we make with one another is clear and complete.

Hard Work - We’re here to do something difficult together. We care intensely about the mission and we expect that from our teammates. That care means that we work hard here. Hard work comes with long hours, extra effort…and real opportunity at Shelf. Your passion for creating and sustaining output is a part of our DNA. Support each other, cheer each other on, drive the mission forward. Great teams sustain intense effort together to win.

Learning Agility - We’re innovating in one of the fastest‑moving spaces in history at a time of accelerating global change. That’s incredibly exciting and requires each of us to commit fully to learning each and every day so that we can be the best at what we do. None of us know everything. All of us can learn anything. Staying open and constantly curious is a key success driver at Shelf. It also requires humility. We prize people who are consistently humble and open to making mistakes and growing from them. Recognize also that learning itself is a skill…we need you to be really good at it. Keep dialing in your own understanding about how you learn best and push yourself to keep growing.

Adapt and Thrive - Overcoming challenges lives deep in our DNA. We have a proud history of understanding and living the reality that obstacles are our opportunities…they’re the key to our success. Change is a constant in our business and fighting change is counterproductive. We need you to be good at being uncomfortable and understand that discomfort is the key to growth. Cultivate your own ability to adapt and know that struggling well is something you’ll share with every team you’re on at Shelf. Our company stories are about thriving through real difficulty…together.

Win Together - We win or lose as a team. Always. Everything you do here is connected to the rest of the organization. Part of our shared team environment demands full honesty…real candor and directness with one another. We expect you to constantly be thinking about how to support your teammates and the company, always acting in service to our shared mission and what’s best for the organization as a whole.

There are no limitations, no barriers when the right people are on your way — apply for the vacancy and succeed with us!

Innovecs is an equal opportunity employer. All hiring decisions are based on professional qualifications, skills, and experience. We are committed to a transparent, merit-based recruitment process that prevents discrimination and ensures equal opportunities for all candidates. Reasonable accommodations are available upon request throughout the recruitment process to support accessibility and inclusion.

About Us: 

Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.

The Role:

We are seeking an innovative and experienced AI Architect to join our engineering leadership team. This is a strategic role that will be instrumental in designing and building the next generation of AI-powered features for our continuous testing platform. You will be responsible for architecting scalable and robust AI solutions that transform how our customers gain insights from their test data and production environments, and how they create tests.

Responsibilities:

• Define AI Architecture: Lead the design and architecture of cutting-edge AI/ML solutions for new product offerings, ensuring scalability, performance, quality and reliability within a cloud-native environment.
• AI-Powered Insights (Test & Production):  Architect AI systems to derive actionable insights from vast quantities of test run logs and analytics data. This includes identifying patterns, anomalies, and performance trends.
• Production Error Reporting Integration: Design AI solutions that integrate with our existing error reporting product to analyze production issues for mobile and web applications, providing deeper understanding and predictive capabilities.
• Unified Data Intelligence:  Develop architectures for combining insights from both test runs and production data, creating a holistic view of application quality and user experience.
• Automated Failure Analysis & Remediation:  Architect AI models and systems that can automatically identify failures in test runs, diagnose root causes, and suggest potential fixes or optimizations.
• AI-Assisted Test Case Generation:  Design AI-driven capabilities to assist in the intelligent generation of test cases, improving test coverage and efficiency.
• Leverage Cloud AI Platforms:  Work extensively with Google Cloud Platform (GCP) services, specifically focusing on leveraging and integrating with our self-hosted versions of Gemini Flash models for text generation and understanding.
• Data Strategy & Pipeline:  Collaborate with data engineering teams to define and optimize data pipelines, ensuring efficient data flow from sources (Snowflake, with an eye towards Google BigQuery) to AI models.

Enhance Delivery Process: Help identify the areas of opportunity for delivery process improvements through AI tools and validate the feasibility.

• Technical Leadership:  Provide technical leadership and mentorship to engineering teams, guiding them in the implementation and deployment of AI/ML solutions. Take part in AI governance projects.
• Research & Innovation:  Stay abreast of the latest advancements in AI/ML, evaluating new technologies and methodologies to continuously enhance our product offerings.
• Cross-Functional Collaboration:  Work closely with product management, engineering teams, and senior leadership to translate business requirements into technical AI solutions and roadmaps.

Required Skills:

Education & Experience:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 7+  years of experience in software development and architecture of production-grade systems.

• Extensive AI/ML Architecture Experience:  Proven experience in designing, building, and deploying large-scale AI/ML systems and platforms in a production environment.
• Cloud Expertise (GCP Preferred):  Deep hands-on experience with Google Cloud Platform (GCP) services relevant to AI/ML (e.g., Vertex AI, BigQuery, Cloud Storage, Dataflow).
• Generative AI Experience:  Practical experience with large language models (LLMs), particularly with models like Gemini Flash, and understanding of their deployment and fine-tuning (especially with regard to prompt engineering, agent orchestration, context windows management and output validation)
• Big Data & Analytics:  Strong background in working with large datasets, data warehousing (Snowflake, BigQuery), and analytics platforms.
• Software Engineering Foundation:  Solid understanding of software development best practices, scalable system design, and microservices architectures.
• Problem-Solving & Innovation:  Exceptional analytical skills with a track record of solving complex, ambiguous problems using AI/ML techniques.
• Leadership & Communication:  Excellent communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences, including senior leadership.
• Hands-on Capability:  While an architectural role, a willingness to be hands-on with prototyping, proof-of-concepts, and guiding implementation.
• Domain Knowledge (Highly Desired):  Familiarity with software testing, quality assurance, DevOps, or application performance monitoring.

Nice to Haves:

• Experience with MLOps practices and tools for managing the ML lifecycle.
• Contributions to open-source AI/ML projects or relevant publications.
• Advanced degree in Computer Science, AI, Machine Learning, or a related quantitative field.

We are a hybrid workplace that recognizes the importance of flexibility while valuing in-person collaboration and relationship building. As a result, Saucers located near an office location must be able and willing to come into the office.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

Vonage Applications:

Our Applications business unit focuses on delivering a suite of advanced communication tools designed to enhance customer engagement. From cloud contact centers to feature-rich unified communications solutions, our Applications team is dedicated to providing businesses with the tools they need to streamline operations and improve customer experiences.

Why this role matters:

Join Vonage's Applications Architecture team and help shape how we handle data across our unified communications platform. You'll work with hundreds of engineers across product lines, setting the direction for data platforms that serve millions of users worldwide.

As a trusted advisor and facilitator, you'll guide engineering teams and product managers on data architecture decisions - helping us build scalable, multi-tenant data products while maintaining speed and quality. This is about strategic influence, not hands-on coding.

Your key responsibilities:

• Design and guide the software and data architecture for customer-facing data products across multiple systems in a multi-tenant environment
• Set architecture vision for analytics data platform and identify emerging technology trends
• Work directly with engineering teams and product managers to scope features and solve complex data challenges
• Engage and be an active member of the wide Apps architecture team
• Facilitate technical discussions and help teams make better architectural decisions across domains
• Establish and evangelize best practices, guidelines, and standards for data management
• Identifying and sponsoring technical improvements  
• Champion the team's vision while empowering teams to own their implementation

What you'll bring

Your background:

• 10+ years of building Software and Data-heavy systems - you've seen what works (and what doesn't)
• Experience designing features that utilize AI/ ML
• You've built data products that actually scale
• Understanding of cloud infrastructure (we love AWS, but a great cloud experience translates)
• Fluent in one of the languages, like Python, .NET, JavaScript—you speak a developer language

Who you are:

• A natural communicator who influences without needing a title
• Self-directed - you see what needs doing and make it happen
• A pragmatic thinker who cuts through complexity to find elegant solutions
• Curious and energized by learning new technologies and approaches
• Comfortable with ambiguity and change (we're growing fast!)
• Someone who connects the dots between technical choices and business impact

What would make you stand out:

• You've been an architect or technical lead before and loved it
• You've worked with modern data tools: Kafka, Snowflake, Spark, Looker
• You know the telecom, SaaS, or unified comms space
• You've thrived in Agile/SAFe environments
• You've mentored engineers and watched them grow
• You have a bias for improvement - leaving things better than you found them is just how you work

How you’ll benefit:

• Discretionary Time Off
• Private Medical Healthcare
• Pension scheme
• Ericsson support line
• Hybrid work
• Additional benefits and perks will be shared and discussed with you by the recruiter during the interview process

#LI-KF1

About the role

This is a hands-on role for a Senior Data Engineer sitting within the Data Products team. In this role, you will have an enormous impact on the design, implementation, and maintenance of existing and greenfield customer-facing data products. Data is key to Auctane’s strategy. We work at a scale pace and with the latest architecture patterns and tech. We process thousands of events per second, and our massive dataset keeps growing at a staggering pace. We keep improving our data platform and data engineering stack to accommodate growth, enable novel solutions, and provide the best service to our customers. We have a flat and open engineering culture where data & evidence beat opinion and hierarchy, backed by honest discussions. We passionately believe in forming autonomous, cross-functional teams who are empowered to deliver our ambitious strategy. Energy and passion for our business and customers are a part of the Auctane culture – and we love working with like-minded people.

What will you be doing?

• Contribute to the design, build, and operational management of our data pipelines and analytics solution on top of proven AWS data technologies like S3, Athena, Lambda, and Kinesis.
• Collaborate with the Product Owner and other stakeholders to implement the Data Products strategy.
• Develop frameworks and solutions that enable us to acquire, process, monitor and extract value from our massive dataset.
• Drive the design and architecture of Auctane’s data product.
• Contribute directly to the implementation and operations of our systems.
• Be an advocate of data quality and observability principles and use state-of-the-art technologies like Airflow, dbt, and Spark to process data and get our datasets just right.
• Foster engineering excellence by delivering highly reliable software and data pipelines using Software Engineering best practices like automation, version control, continuous integration/continuous delivery, testing, security, etc.

What are we looking for?

• At least 5 years of proven experience in data engineering roles
• A strong Data Engineering background in a data warehouse or data lake architecture
• Experience working in AWS/GCP cloud infrastructure.
• Experience developing and supporting robust, automated, and reliable data pipelines in Python and SQL.
• Mastered Python and SQL skills.
• Experience with data processing frameworks like Spark, Athena, or Pandas.
• Knowledge of Data Orchestration solutions, preferably Airflow.
• Knowledge of relational database design as well as Snowflake/Redshift or similar

What will make you stand out?

• Production experience working with very large datasets.
• Experience with AWS and big data cloud technologies like EMR, Athena, Glue, and EC2.
• Direct experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation)
• Knowledge and direct experience in using business intelligence and analytics tools (Tableau, Looker, Power BI, etc.)
• A desire to constantly challenge the norm Proven track record of promoting and maintaining high engineering standards.
• Fast learner with a keen interest in evaluating and adopting new technologies: Apache Iceberg, Dagster, DBT, GreatExpectations, Prefect, Snowflake, etc.
• Understanding of core ML concepts like supervised and unsupervised learning, overfitting, and cross-validation as well as LLM concepts like fine-tuning, etc.

Tech stack

Python SQL Amazon Web Services C# .NET

What do we offer?

Hello from Inbank! If you’ve ever bought something in three instalments or financed your gadget purchase online or in a shop, there’s a good chance you’ve used something we built.

We’re not here to be another bank. At Inbank, we’re a modular finance platform that helps businesses grow and customers pay with ease. We believe banking should feel invisible, an effortless layer that powers every great digital experience. Today, our financing rails are woven into the flow of 6,000+ leading retailers, giving around half a million customers a one-tap way to pay while turbo-charging merchants’ growth.

There are already 440+ of us across Estonia, Latvia, Lithuania, Poland, and Czechia, and we’re continuing to grow as we help thousands of retailers expand their business and reach millions of shoppers.

We’re looking for a Senior Data Platform Engineer to join our Data Warehouse team and help shape and scale our cloud data platform. This is a hands-on senior individual contributor role for someone who can design, build, and operate reliable data pipelines — and, most importantly, bring strong senior-level dbt expertise to the team.

What you’ll be doing?

• Owning and evolving core data platform capabilities such as CI/CD, environment management, observability, and access control to ensure the platform is scalable, reliable, and easy to build on.
• Building and owning data pipelines and transformations on our Snowflake-based data platform.
• Leading the design and implementation of dbt-based ELT, including scalable modelling, testing, and documentation.
• Developing orchestration, ingestion, and automation solutions using Airflow and Python.
• Improving developer experience and raising engineering standards across testing, deployment, maintainability, and platform operations.
• Partnering with analytics and business stakeholders to translate requirements into reliable, secure, production-grade datasets.

What we’re really looking for?

This role is for a Senior Engineer with strong hands-on experience in dbt. We’re looking for someone who has worked with dbt in production and is excited to help evolve and scale best practices across the team.

Ideally, you’d have:

• Solid experience building and operating modern data platforms on AWS using Snowflake, dbt, Airflow, and Python.
• Senior-level mastery of dbt: designing modular models, enforcing testing standards, structuring projects for scale, improving documentation, and making sound architectural decisions.
• Deep understanding of data modelling, ELT design, warehouse performance optimisation, and production-grade data engineering.
• Proven experience owning production data pipelines and making pragmatic technical trade-offs.
• A quality-focused mindset: you care about reliable, well-tested, well-documented, and trusted data.
• A security-focused mindset: you design and operate data platforms with attention to access control, data protection, change management, and the needs of a regulated environment.

If you’re excited about this role but don’t meet every requirement, we still encourage you to apply — we value diverse experiences and perspectives and believe great people grow into great roles.

What you’ll get in return?

• A competitive salary tailored to your experience, along with a comprehensive benefits package.
• Wellbeing support through sports compensation or additional health insurance to help you stay active and healthy.
• Extra vacation days after your third year, giving you more time to rest and recharge.
• A 6-week paid sabbatical after four years, recognising strong performance and long-term contribution.
• A dynamic and inspiring work environment where you’re encouraged to grow and take ownership of your work.
• Flexibility through a hybrid and autonomous way of working, built on trust and accountability.
• The opportunity to collaborate with talented international colleagues across multiple markets.
• Regular team events and additional perks that make work more enjoyable and help celebrate successes together. 

Sounds like a fit?

Apply, and our recruitment team will be in touch. If you’re unsure but curious, apply anyway, we’d be happy to explore the fit with you.

Senior Data Engineer

VGW is an interactive entertainment company, harnessing technology and creativity to deliver world-class, free-to-play online social games. 

We have an exciting opportunity to join our Technology team in Poland, and we’re currently looking for a Senior Data Engineer to be a part of the team.

The Senior Data Engineer will play a key leadership role within our product teams, ensuring the delivery of trusted, high-impact data products. This person will guide the team in planning, building, shipping and maintaining solutions that truly serve our customers and stakeholders. The role combines technical leadership, hands-on project delivery and coaching, with full responsibility for the quality, usability, governance and overall success of our data products.

Key responsibilities will include:

• Lead engineering teams in designing, building and delivering trusted, high-impact data products.

• Provide technical leadership through hands-on work, coaching and guiding others across data engineering best practices.

• Develop, operate and optimise robust data pipelines and systems that ingest, cleanse, transform and structure diverse datasets.

• Drive design discussions and architecture sessions, facilitating consensus on the most effective and scalable solutions.

• Ensure coding, infrastructure and operational standards are met, and champion Continuous Delivery and Secure SDLC practices.

• Collaborate with product teams to define and evolve data product standards, governance and quality guidelines.

• Identify opportunities to improve data flows, pipelines and data products, ensuring performance, reliability and operational readiness.

• Maintain clear, up-to-date technical documentation to support system continuity and knowledge sharing across teams.

• Mentor and develop engineers, contribute to knowledge sharing, and support growth of the organisation through hiring and community engagement.

• Advocate for a data-driven culture, helping teams make informed decisions and continually improve how data is leveraged across the business.
  
  

What you will bring to the role:

• Degree in Computer Science or 5+ years of equivalent practical experience.

• Proficient in SQL and Python.

• Experience with Snowflake.

• Hands-on experience with relational and NoSQL databases (e.g., Postgres, DynamoDB).

• Skilled in building and operating ETL/ELT pipelines and working with semi-structured data.

• Proficient in cloud-native DataOps practices (IaC, CI/CD, Git).

• Experience with AWS data services such as EMR, RDS, Redshift, Kinesis, Glue.

• Experience with data modelling and warehousing (Dimensional, Data Vault 2.0) will be an advantage.

• Exposure to large-scale data processing and streaming technologies (e.g., Hadoop, Kafka, Kinesis, Flink, Spark Streaming).

• AWS Associate-level certifications are desirable.

About VGW

VGW is an interactive entertainment company, harnessing technology and creativity to deliver world-class, free-to-play online social games.

With high-quality, acclaimed brands including Chumba Casino, Global Poker and LuckyLand Slots, we entertain and delight over one million players in North America.

As pioneers in sweepstakes promotions for online social games, we also offer our players the opportunity to redeem incredible prizes.

At VGW, one of our core values is "our players come first". This means always striving to deliver a safe, responsible and positive player experience.

Why VGW?

At VGW, we’re more than just a team. We’re a diverse and inclusive group of individuals, each playing a vital role in our success.

Our core values are clear and strong; we win together, do what’s right, put our players first and are powered by passion.

We believe in our people and are committed to creating an environment where everyone feels welcome, inspired, and supported. We recognise that life is more than just work - that’s why we’re all about flexibility so you can strike a healthy balance between your personal life and career. We’re also here to champion your growth in your current role and future aspirations, providing opportunities for learning and career advancement. And to top it off, we back this all up with competitive compensation, perks and benefits.  

But it’s not all business. We inject fun into the workplace, celebrate together and create lasting memories, from a mix of in-person and online events, to social gatherings and much more.

It’s our combined skills, ideas and visions that drive us forward. Join us on this exciting journey, and together, we’ll achieve remarkable things. 

If you want to join a team that does things differently, apply today - we look forward to seeing what you can bring to our team.

Find out more at www.vgw.co

#LI-OV1

Your key skills and capabilities: 

• Strong SQL and Python skills  

• Data modelling experience (dimensional, relational, or similar)  

• Experience building and maintaining backend systems  

• Familiarity with Microsoft Azure  

• Understanding of APIs, containers, and backend development best practices 

• Implementing cloud-native data platforms 

• Engineering scalable and reliable pipelines 

• Good knowledge of distributed computing with Spark 

• Understanding of cloud architecture principles and best practices 

• Hands-on experience in designing, deploying, and managing cloud resources 

• Agile ways of working 

• Experience in cloud automation and orchestration using tools such as CloudFormation or Terraform 

• Monitoring and performance tuning of cloud-based applications and services  

Nice to haves:  

• Experience with Snowflake, dbt, CubeJS 

• Experience with Databricks, PySpark, ML workflows  

• Experience with containerized deployments (Docker, Kubernetes, Azure Container Apps).  

• Frontend development experience (React, Next.js, TypeScript)  

• Infrastructure-as-code (Terraform, CloudFormation) 

• Model Deployment & Serving – Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance  

• Monitoring & Retraining – Set up model drift detection, performance monitoring, and automated retraining   

• ML Pipelines & CI/CD – Automate end-to-end ML workflows 

Key tasks:  

• Develop, maintain, and optimise backend services for our SaaS platform  

• Work with SQL and Python daily to build robust data pipelines and transformations  

• Model, structure, and query data to support product features and reporting  

• Integrate and maintain data ingestion flows (e.g., Fivetran, custom connectors)  

• Implement backend APIs (FastAPI) to power our web application  

• Work with our cloud environment (Azure - experience with AWS or GCP also valuable)  

• Collaborate with teammates to plan, build, and deploy features in an Agile way 

• Contribute to CI/CD workflows, monitoring, and infrastructure-as-code 

We expect you to have some knowledge about how to architect, design, develop, deploy, and operate a data platform.