• Lead a team of Engineers, setting clear expectations and providing continuous feedback, coaching, and mentoring to ensure success and growth
• Working closely with feature owners, economy, liveops and other development teams to implement feature simulations and technological pipelines for Monopoly GO!
• Driving the implementation of systems that transform raw game data into analytical datasets for simulation and evaluation
• Ensuring technical performance is “Best-in-Class” throughout development
• Writing automated, high-quality tests (unit, integration, load, etc.) and working with QA teams to improve gameplay experience, curtail exploits and ensure that everything works smoothly
• Reviewing Technical Design Documents and provide feedback and guidance to other engineers
• Collaborating and communicating with cross-functional departments including: economy, liveops, qa, etc.
• Participating in a strong engineering team and culture
• Live game support & troubleshooting
• Contributing to technical plans and discussing the workflows and requirements with stakeholders
• Implementing tools to empower our liveops and game design teams in the creation of new and exciting game-play experiences
• Explore AI-assisted tools (LLMs, copilots, automation frameworks) to improve productivity, enhance analysis depth, and accelerate iteration cycles

• 6+ years as part of a professional game development team or other relevant area
• Experience managing people, driving 1:1s and performance reviews, doing follow ups and providing regular feedback to direct reports
• Experience driving and leading the technical execution of complex and interdisciplinary developments
• Mastery of C#, Python or another OO language, including experience with asynchronous and multi-threaded programming paradigms
• Hands-on experience with cloud computing (AWS, GCP...) and low-latency, high-scale distributed systems
• Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms)
• Strong understanding of game framework architecture at scale, maintainability over time, robust API design, etc.
• Strong knowledge of application design best patterns and practices; understanding of maintainability concerns when designing and implementing applications
• Enjoy solving complex technical problems, especially in large systems
• Willingness to learn and work with new technologies
• You’re a great tech communicator who knows how to share knowledge with non-technical people
• You have a desire to seek out and take on user feedback to drive world class application development
• A passion for games

• Experience building your own games as personal projects or game jams
• Experience with AWS, Docker, Kibana, Ansible
• Experience with automated testing
• Solid experience with SQL and at least one data warehouse (BigQuery preferred)
• Knowledge of probability, applied statistics, and simulation techniques
• Experience with distributed processing tools: Spark, PySpark, or alternatives
• Experience building ETL/ELT pipelines using Airflow, DBT, or similar frameworks
• Experience in gaming, monetization, or game economy
• Familiarity with gameplay logic or LiveOps systems
• Experience developing internal libraries or tools for non-technical teams
• Curiosity for experimenting with AI systems to extend capabilities of existing pipelines or prototype new evaluation methods

At Scopely, we believe in creating a supportive work environment where everyone is treated with respect and inclusivity. We welcome individuals from all backgrounds and are committed to providing equal employment opportunities regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other protected status.

Highlights

Location: Remote (CET hours preferred)

Compensation: €5,200 - €6,100 gross + stock options

Language: Russian-speaking team, English B1+ required

About Fundraise Up

We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.

Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.

A Truly Global Product

We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.

We’re building a large and complex product ecosystem that serves nonprofits, donors, and partners around the world. The platform includes a modern checkout experience and customizable widgets (each a standalone SPA), donor, organization, and partner portals, admin tools, and several internal apps.

Our backend is powered by Node.js (Koa, NestJS) and MongoDB. The frontend stack includes Webpack, Vue.js, and React, with nearly all code written in TypeScript. For high-throughput messaging and background processing, we use Kafka (for millions of events) and Bull (Redis). Analytics data is stored in ClickHouse, and we use Elasticsearch for search.

The Team

We are a distributed team of 160+ product professionals, including 80+ engineers. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. Many of our developers bring 5 - 10+ years of experience, and we foster a culture of deep technical curiosity and knowledge sharing.

Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. You’ll be joining a team where quality, mentorship, and mutual respect come first.

About the Role

As a Senior Data Engineer, you will be responsible for designing, building, and optimizing scalable data pipelines and ETL/ELT processes.

At the initial stage, you will be the first engineer in this direction, taking full ownership of the data domain. As the product and data needs grow, we plan to expand the team, and you will have the opportunity to contribute to its development.

This role requires a high level of autonomy and ownership, combined with close collaboration with analytics, Data Science, and engineering teams.

What You’ll Do

• Design and evolve the architecture of the data platform and storage systems.
• Build reliable ETL/ELT processes and develop scalable data pipelines for delivering data into a centralized analytical warehouse.
• Maintain and further develop the Data Warehouse.
• Collaborate with engineering and analytics teams on system design and architectural decisions.
• Ensure data governance and maintain high standards of data quality.
• Write and optimize queries for MongoDB and ClickHouse.
• Manage and maintain workflows in Airflow.

Requirements

• Experience: 7+ years of experience as a Data Engineer.
• Programming: 5+ years of experience with Python, TypeScript, Node.js, Kafka.
• Strong understanding of data processing algorithms and principles.
• Hands-on experience with ClickHouse, Airflow, Amazon S3, Git, Docker.
• Solid understanding of Data Lake and Data Warehouse architectures.
• Experience working with large-scale data and query optimization.
• Ability to work collaboratively toward shared goals.
• Strong sense of ownership, responsibility, and proactivity.
• English level: B1+.

Nice to Have

• Experience with Apache Parquet, MLflow, MongoDB. 

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• Private medical insurance for the employee and their family
• 23 paid vacation days per year
• 11 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses.
• Relevant professional education
• Gym or swimming pool
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
• Co-working
• Remote working

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

The role

We are seeking a highly organized and experienced Warehouse and Logistics Specialist to oversee and optimize logistics, warehouse management and asset-related processes.

This role will involve implementing and refining asset management processes, reviewing logistics and warehousing operations, setting up equipment certification, onboarding new partners and locations, and managing insurance and old asset sales.

This position is onsite in Madrid, Spain.

Your responsibilities will include: 

• Oversee and optimize all logistics and warehouse management processes, ensuring efficiency and compliance.
• Implement asset management processes to track the full lifecycle of assets.
• Review and refine logistics/warehousing processes to identify areas for improvement.
• Set up and manage equipment certification processes to meet operational and regulatory requirements.
• Onboard new partners and locations, ensuring smooth integration into the logistics and asset management systems.
• Manage insurance for assets, including claims, renewals and risk mitigation strategies.
• Facilitate the sale and disposal of old assets in compliance with company policies and regulations.
• Collaborate with cross-functional teams to ensure seamless asset management and logistics operations.
• Monitor and report on key logistics and asset management metrics, providing insights for continuous improvement.

We expect you to have: 

• 3-5 years of experience in logistics or logistics project management.
• Familiarity with logistics management systems, ERP software and asset-tracking tools.
• Strong project management skills with the ability to manage multiple tasks and priorities.
• Knowledge of logistics, warehouse operations and asset lifecycle management best practices.
• Strong attention to detail and organizational skills.

Total compensation range: €30,779 - €42,449

The Position

At Hive, we're building the most customer-centric operations platform in Europe — and our Merchant Care team is at the heart of that mission.

As a Merchant Care Associate — On the Ground, you'll be the first point of contact for our merchants' operational issues directly from the fulfillment center. You'll work shoulder-to-shoulder with our logistics partner's floor teams, spot issues before they escalate, and close the loop between what's happening on the warehouse floor and our merchants.

You'll be on-site in Illescas, part of Hive's Merchant Care team, and the bridge between the fulfillment center operations, Hive's office-based specialists, and our merchants.

What you'll do

• Be the go-to Merchant Care contact at the fulfillment center: resolve issues that need a pair of eyes on the floor (missing items, inventory discrepancies, packaging questions, returns edge-cases).
• Own the support tickets (Zendesk) routed directly to the fulfillment center queue — investigate, action, and resolve.
• Partner daily with the logistics partner Team and our Spec Ops — join their stand-ups, build trust, unblock.
• Spot inefficiencies and proactively improve Merchant Care processes as we scale the on-site model.
• Act as the voice of the merchant in cross-functional discussions with Product, Operations and Tech.
• Bring data into every decision — Metabase, Notion, Asana, Zendesk and Claude are your daily tools.
• Start focused on Inventory / inbound, and broaden to Freight, B2B and Outbound after the first few months — becoming the on-site go-to for multiple Merchant Care topics at your fulfillment center.

Your Profile

We are looking for someone with: 

• Experience: 1–3 years in Operations, Customer Support, SaaS, or logistics / third-party fulfillment. Bonus if you've worked in or near a warehouse.
• Languages: fluent in English, plus Spanish (C2 or Native level)
• Mindset: hands-on, solution-oriented mindset with a bias for action and a strong sense of ownership.
• Driving licence

We know, sometimes you won't tick every box. We'd still love to hear from you if you think you're a good fit.

Our offering

Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.

This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:

• Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.

• Develop engineering expertise  within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL data replication & data pipelines on large & often complex data sets 

• Build & maintain data quality metrics & observability to help drive data quality standards

• Learn about existing systems and  processes across Data Platforms, Data Engineering and Data Governance

• Troubleshoot data pipelines, platform automations, data access system.

• Help field and troubleshoot various community questions and challenges

• Own, maintain and enhance data operation processes, monitoring & data quality systems

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with bringing ideas for platform and process improvements 

• Help contribute to the ongoing documentation of internal systems and processes

Requirements: 

• 2+ years of relevant experience in Data Engineering / Data Platform Engineering

• Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake a plus

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Experience in building data models

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision

Dataiku is looking for a Data Engineer II to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA Team, you will play a central role in delivering data to fuel analytics, AI, and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the Data Platform that fuels centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users across the organization.

You will become a technical expert on the various platforms we work in and help drive engineering excellence both within the EDA team and across the wider Analytics Community. The Data Engineering day to day will primarily be within the Data Platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. Strong software development lifecycle knowledge and DataOps skills are a must. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client-facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts! Your responsibilities within the team include but are not limited to:

• Be an expert level engineer within the Dataiku Platform including Platform Automation, GenAI Capabilities, Plugin Development, maintenance & troubleshooting

• Be an expert  level engineer within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL based platform automation process

• Build & maintain data quality metrics & observability to help drive data quality standards

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Build & maintain GenAI Platform platform solutions focused on security and governance for engineering delivery

• Build & maintain DataOps process for SDLC delivery

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help drive technical & architectural decisions on the data platform including decisions on data architecture, data engineering processes, data quality frameworks, data access security & governance frameworks, DataOps processes & data consumption models.

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with dedicated innovation time & projects that aim to be transformational for either the platform, team or company as a whole.

• Actively contribute to the expertise level and competencies of the EDA Team and participate in the creation and support of data development standards and best practices. 

Requirements : 

• 3+ years of relevant experience in Data Engineering / Data Platform Engineering

• Expertise in SQL & Python is a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake strongly desired

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Strong understanding of data architecture & data modeling concepts

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform.  Ability to create clear and concise documentations with a high degree of precision

Scopely is seeking a highly motivated Data Governance Expert to join our Playgami team in Barcelona!

At Scopely, we care deeply about what we do and want to encourage play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people worldwide daily.

Playgami is building the best SaaS gaming platform ever! The team strives to build the world’s best products for game production, operation, and insights. Powering many award-winning, loved-by-millions franchise games over mobile, web, and PC.

What You’ll Do

This role is for an expert who can build and run an enterprise-scale data governance program for a global EDW, with strong fluency across Security, Compliance, and Legal. You will not be hands-on technical, but you will influence technical teams to implement governance rules and controls, and you will chair a complex, globally distributed Data Governance Council.

• Support the execution of Scopely’s data governance strategy for the global data warehouse
• Work closely with Security, Privacy, Legal, Compliance, and data teams to translate requirements into clear and actionable policies
• Help define and implement governance frameworks such as data classification, PII handling, access control, and data lifecycle management
• Collaborate with engineering teams to ensure governance policies are implemented correctly in data platforms
• Contribute to access governance processes, including approvals, reviews, and monitoring
• Help maintain documentation, decision logs, and governance guidelines to ensure transparency and consistency
• Identify risks related to data usage and support mitigation plans with clear tracking
• Assist in improving processes, templates, and training materials to increase adoption across teams
• Support governance needs for new projects, tools, and integrations, including emerging areas like AI usage
• Participate in governance forums and working groups, contributing to decisions and alignment
• Contribute to defining data ownership and accountability across datasets
• Support the implementation of data classification and sensitivity models
• Help ensure appropriate use of sensitive data based on business needs
• Assist in defining and applying data lifecycle policies, such as retention and archiving
• Collaborate with stakeholders to balance data access, risk, and business value

What We’re Looking For

• 4 to 7 years of experience in data governance, data management, privacy, compliance, or related areas
• Good understanding of data security and privacy concepts, such as PII handling, access control, and auditability
• Experience working with data teams to implement policies in real systems
• Ability to translate requirements into practical solutions with technical teams
• Strong collaboration skills and ability to work across different teams and functions
• Pragmatic mindset, you focus on solutions that work in real environments
• Clear communication skills, both written and verbal
• Comfortable working in fast-paced environments with evolving needs

Nice to Have

• Experience with modern data platforms such as BigQuery or Snowflake
• Familiarity with IAM concepts and BI tools
• Exposure to regulated environments or sensitive data domains
• Experience working in multi-team or global organizations

At Scopely, we create games for everyone, and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us and embrace the adventure!

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team collaboration, and organizational control into a single coherent system. This platform serves as the execution and governance layer for AI-driven development and is deeply integrated with JetBrains tools and designed to work across teams, products, and environments.

As part of this vision, we’re building AI governance capabilities into JetBrains Console that help organizations manage, observe, and understand AI usage across their teams. Our AI analytics give company admins and decision-makers visibility into adoption, usage, cost, and the impact of AI agent development.

We’re looking for a Senior Product Manager to lead the vision and execution for customer-facing AI analytics as part of our AI governance product. This is one of the most valuable areas of the platform – it helps organizations understand how AI is being adopted across JetBrains products and third-party AI tools, how it affects developer workflows, where friction exists, and how to make better decisions about rollout, budgets, limits, and tooling. 

In this role, you will:

• Own the product roadmap for AI analytics within JetBrains Console.
• Drive product discovery using customer research, product telemetry, usage data, and feedback from Sales, Customer Success, and other customer-facing teams.
• Define and develop analytics experiences across adoption, usage, cost, activity, and impact.
• Identify, define, and improve the product metrics behind our analytics, ensuring they are meaningful, trustworthy, and actionable for customers.
• Generate, prioritize, and validate hypotheses through research, data analysis, and experimentation.
• Work closely with engineering, design, and data warehouse teams to define problems, shape solutions, and iterate quickly.
• Collaborate with adjacent product teams across AI, IDEs, licensing, and administration to build coherent customer experiences.
• Help shape the next generation of analytics capabilities, including deeper dashboards, segmentation, and API-enabled access to analytics data.

We’ll be happy to have you on our team if you:

• Have 5+ years of product management experience, ideally in B2B or enterprise software.
• Have experience building analytics, observability, reporting, or admin-facing products.
• Have a technical background or hands-on experience with software development.
• Are familiar with modern software development practices and developer workflows.
• Have a strong understanding of product metrics, telemetry, and data-informed decision-making.
• Are comfortable working with technical products and engineering-heavy teams.
• Are proficient in English, with strong written and spoken communication skills.

We'd be especially thrilled if you have:

• Experience in AI products for developers, governance, compliance, or usage-based platforms.
• Experience building products for software teams, engineering organizations, or technical decision-makers.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

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Scopely is seeking a highly motivated Senior Product Analyst to join our Direct-to-Consumer team in Barcelona on a hybrid basis!

At Scopely, we care deeply about inspiring play, every day – whether in our work environments alongside talented colleagues or through our deep connections with player communities. We are a global team of game lovers who develop, publish, and innovate the gaming industry, connecting millions of people worldwide daily. 

What You’ll Do  

You’ll develop a suite of D2C dashboards that are trusted and widely used across both central and game teams, run D2C A/B testing programs across the portfolio, and regularly collect, analyze, and present insights that game team decision makers will use to drive impact.

• Proactively investigate & gather data-driven justification for D2C growth opportunities
• Build & maintain the suite of D2C dashboards used by key stakeholders and use them to create reports on D2C performance
• Influence other data & analytics groups to execute D2C analyses or dashboard-building on our behalf where it makes sense
• Diagnose D2C performance shifts across traffic, conversion, retention, and monetization
• Translate ambiguous executive asks into structured analytical approaches
• Pull & analyze large volumes of player data needed to answer key business questions
• Design, validate, and interpret A/B tests (from experiment design to impact sizing)
• Produce compelling visualizations and summary slides tailored to a variety of audiences from IC teams to executives
• Partner with Data Engineering to commission new data infrastructure when needed - writing clear technical specs that translate business needs into implementation requirements.

What We’re Looking For  

• 3-5 years of experience in analytics within high-scale consumer apps
• Advanced SQL proficiency (BigQuery or similar warehouse environments)
• Experience building dashboards in Looker
• Strong experience designing and interpreting A/B tests
• Ability to translate business questions into specific analytical plans
• Ability to synthesize data into clear business insights
• Strong presentation skills - able to communicate effectively to both technical and non-technical stakeholders.

Bonus Points

• Experience working on or closely with mobile F2P games (Casual and Midcore)
• Strong understanding of D2C strategy within F2P ecosystems
• Familiarity with agentic AI tools for productivity (scripting, data formatting, workflow acceleration)
• Experience using Hex or other AI-assisted data analysis platforms.

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!  

Scopely is looking for a Director of Data to lead Analytics Engineering for Monopoly GO!, one of Scopely’s largest and most successful titles. This opportunity is open to candidates working remotely across the UK, Ireland, or Portugal, or in a hybrid setup from our Barcelona or Seville hubs.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.      

Monopoly GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. The team is based in Europe and the US, and works every day to create captivating new experiences for our players.     

In this role, you will define how data is built, scaled, and used across the game—owning the platform, standards, and team that power insight, experimentation, and decision-making at scale.

You will operate as both an organizational leader and technical authority: shaping the vision for Analytics Engineering, evolving the data platform, and ensuring data is a core competitive advantage for the business.

What You Will Do

Define Strategy, Vision & Operating Model

• Define the vision and operating model for Analytics Engineering as the organization scales
• Own the roadmap for Analytics Engineering and AI initiatives, driving insight at scale
• Promote a data product mindset, ensuring data assets are reliable, reusable, and easy to access
• Drive adoption of AI-enabled workflows in analytics, and define how AI systems interact with the data platform

Own Data Platform & Architecture

• Set direction for the data platform (pipelines, warehouse, semantic/metrics layer), optimizing for speed, reliability, and usability
• Own the metrics layer as a single source of truth across the organization
• Ensure scalable data pipelines and strong experimentation, reporting, and analytics capabilities
• Influence broader data architecture, including shared platforms like Playgami, and partner with central data teams

Own Investment & Resource Strategy

• Own budget and investment decisions for data infrastructure and tooling
• Continuously improve organizational structure, processes, and execution velocity

Lead & Scale the impact of Analytics Engineering as a Craft 

• Maintain a high-performing Analytics Engineering team, including hiring, performance management, and career development
• Define role architecture, promotion criteria, and calibration standards 
• Establish Analytics Engineering as a Centre of Excellence, fostering community, learning, and innovation
• Monitor and improve team health, capability, and performance

What We're Looking For

• Proven experience leading and scaling high-performing data or engineering organizations
• Deep understanding of modern data platforms (pipelines, warehouses, semantic layers)
• Strong technical judgment with the ability to influence architecture and standards at scale
• Track record of building or evolving data platforms for large-scale products
• Experience improving organizational effectiveness, processes, and team performance
• Ability to operate strategically and hands-on, connecting technical decisions to business impact
• Experience driving adoption of new paradigms (e.g., AI/ML, data products, modern data stack)
• Strong cross-functional leadership and stakeholder management skills

Please ensure that the résumé/CV you attach is written in English.

Scopely is looking for a Senior Director, Data & Insights  to help power the continued success of Monopoly GO! This opportunity is open to candidates working remotely across the UK, Ireland, or Portugal, or in a hybrid setup from our Barcelona or Seville hubs.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.      

Monopoly GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. The team is based in Europe and the US, and works every day to create captivating new experiences for our players.     

As Sr. Director of Data & Insights, you'll lead three teams — Analytics Engineering, Data Science, and Product Analytics — each owned by a Director or Lead reporting to you. Your job is to operate above the day-to-day: set strategy, drive cross-functional alignment, and deliver a step-change in how the studio uses data.

Your north stars: speed (time-to-insight in minutes and hours, not days), access (every PM, designer, and marketer answers their own data questions without a ticket queue), and impact (translating data insight into actionable software improvements) 

AI-Forward Mandate

You'll set the AI vision and hold your organization accountable for embedding it across the org. We expect this leader to build the future of insight delivery, not just manage the present.

What You'll Own

You are the ultimate craft leader for Data & Insight and drive impact through the following areas: 

Analytics Engineering — via Director/Lead

• Define the vision and operating model for Analytics Engineering as the company scales
• Set the direction for the data platform (pipelines, warehouse, semantic layer), focusing on speed, reliability, and ease of use
• Drive the adoption of a data product mindset across all areas
• Push the shift toward AI-enabled workflows in analytics, both for how data is built and how it’s used
• Define how AI systems interact with our data, enabling simple, self-serve access for both technical and non-technical users
• Own the principles behind the metrics layer as a single source of truth across the company
• Maintain a strategic relationship with the central Scopely data function 

Data Science — via Director/Lead

• Set direction and provide feedback for the Data Science roadmap 
• Identify and bridge the gap in missing Data Science models and frameworks 
• Set expectations for how AI should enhance decision-making and operational workflows, and increase the ceiling is what’s possible with Data Science 

Product Analytics — via Director/Lead

• Align Product Analytics direction and roadmap with product strategy, ensuring insights directly inform roadmap decisions and prioritization
• Define the Product Analytics operating model (team structure, embedding, ways of working) to maximize impact and enable proactive, high-quality decision-making
• Set expectations for AI-enabled analytics, improving insight generation, scalability, and team productivity while maintaining rigor

Leadership Scope

• Directly manage 3 Director/Lead-level reports; indirectly lead 40+ analysts, engineers, and data scientists
• Coach and develop your direct reports
• Own the data roadmap and OKRs; serve as the data voice at the product executive level
• Build data literacy programs so non-technical partners can self-serve confidently

What We're Looking For

• 10+ years in data, analytics, or data science; 5+ years managing director-level leaders
• Proven track record in live-service mobile games or high-scale consumer apps
• Deep expertise in the modern data stack: dbt, Snowflake/BigQuery, Looker/Tableau/Hex
• Hands-on fluency with LLM patterns (RAG, agents, prompt engineering) and AI tooling deployment
• Strong command of experimentation design, causal inference, and ML systems in production
• Leads through delegation — comfortable owning strategy and outcomes without owning execution
• Exceptional communicator from SQL to C-suite; player-first and outcome-first mindset

Please ensure that the résumé/CV you attach is written in English.

Are you excited about building modern data infrastructure that powers self-service analytics and high-quality data products at scale? At Super Technologies, data is a strategic enabler of decision-making, experimentation, and performance measurement. Our Analytics Platform team builds the foundations that make data reliable, accessible, and actionable, partnering closely with product, analysts, data scientists, and engineering teams to measure what matters.

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

What you'll be doing:

• Design, build, and evolve scalable ETL/ELT pipelines for high-volume, fast-changing datasets
• Own medium-to-large data initiatives end-to-end, from requirement shaping and technical design to production rollout and ongoing improvement
• Model reliable, analytics-ready data using proven warehouse methodologies such as Kimball, Inmon, or similar approaches
• Develop and maintain curated analytical layers, semantic models, and data marts that enable self-service and trusted decision-making
• Orchestrate robust workflows using tools such as Apache Airflow and improve reliability, observability, and maintainability of data pipelines
• Partner with software engineers, analysts, product managers, and business stakeholders to translate ambiguous requirements into scalable data solutions
• Proactively identify data quality, performance, and modeling issues and drive improvements before they become business problems
• Contribute to architecture and engineering decisions within your domain, balancing speed, quality, and long-term maintainability
• Mentor less senior data engineers through code reviews, design discussions, documentation, and day-to-day guidance
• Raise the engineering bar through testing, automation, CI/CD practices, clear documentation, and thoughtful technical standards

We're looking for:

• Strong SQL and Python skills, with solid hands-on experience building production-grade data pipelines and analytical models
• Deep understanding of dimensional modeling methodologies and modern data warehouse design in platforms such as Snowflake, BigQuery, or similar
• Experience owning projects independently and driving delivery across multiple stakeholders or teams
• Solid experience with orchestration tooling such as Airflow, Dagster, or similar
• Strong understanding of data quality, lineage, observability, and operational excellence in a data engineering environment
• Ability to take ambiguous business problems and turn them into clean, maintainable, well-documented data solutions
• Experience working with cloud platforms, preferably AWS, though Azure or GCP experience is also valuable
• Confidence influencing technical decisions within your team and collaborating effectively with both technical and non-technical stakeholders
• Strong communication skills and a collaborative, problem-solving mindset

Bonus points for:

• Experience with event-driven source systems
• Experience with cloud-native analytical databases like Snowflake, BigQuery, Databricks
• Familiarity with semantic layers, metrics modeling, and enabling data products beyond traditional BI reporting
• Exposure to experimentation-driven or product-led environments
• Experience with data governance, cataloging, and documentation practices such as DataHub
• Experience improving developer productivity through tooling, shared frameworks, or reusable patterns
• Multi-cloud exposure and understanding of platform trade-offs

Are you excited about building modern data infrastructure that powers self-service analytics and high-quality data products at scale? At Super Technologies, data is a strategic enabler of decision-making, experimentation, and performance measurement. Our Analytics Platform team builds the foundations that make data reliable, accessible, and actionable, partnering closely with product, analysts, data scientists, and engineering teams to measure what matters.

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

What you'll be doing:

• Design, build, and evolve scalable ETL/ELT pipelines for high-volume, fast-changing datasets
• Own medium-to-large data initiatives end-to-end, from requirement shaping and technical design to production rollout and ongoing improvement
• Model reliable, analytics-ready data using proven warehouse methodologies such as Kimball, Inmon, or similar approaches
• Develop and maintain curated analytical layers, semantic models, and data marts that enable self-service and trusted decision-making
• Orchestrate robust workflows using tools such as Apache Airflow and improve reliability, observability, and maintainability of data pipelines
• Partner with software engineers, analysts, product managers, and business stakeholders to translate ambiguous requirements into scalable data solutions
• Proactively identify data quality, performance, and modeling issues and drive improvements before they become business problems
• Contribute to architecture and engineering decisions within your domain, balancing speed, quality, and long-term maintainability
• Mentor less senior data engineers through code reviews, design discussions, documentation, and day-to-day guidance
• Raise the engineering bar through testing, automation, CI/CD practices, clear documentation, and thoughtful technical standards

We're looking for:

• Strong SQL and Python skills, with solid hands-on experience building production-grade data pipelines and analytical models
• Deep understanding of dimensional modeling methodologies and modern data warehouse design in platforms such as Snowflake, BigQuery, or similar
• Experience owning projects independently and driving delivery across multiple stakeholders or teams
• Solid experience with orchestration tooling such as Airflow, Dagster, or similar
• Strong understanding of data quality, lineage, observability, and operational excellence in a data engineering environment
• Ability to take ambiguous business problems and turn them into clean, maintainable, well-documented data solutions
• Experience working with cloud platforms, preferably AWS, though Azure or GCP experience is also valuable
• Confidence influencing technical decisions within your team and collaborating effectively with both technical and non-technical stakeholders
• Strong communication skills and a collaborative, problem-solving mindset

Bonus points for:

• Experience with event-driven source systems
• Experience with cloud-native analytical databases like Snowflake, BigQuery, Databricks
• Familiarity with semantic layers, metrics modeling, and enabling data products beyond traditional BI reporting
• Exposure to experimentation-driven or product-led environments
• Experience with data governance, cataloging, and documentation practices such as DataHub
• Experience improving developer productivity through tooling, shared frameworks, or reusable patterns
• Multi-cloud exposure and understanding of platform trade-offs

Typeform is fully remote by design. For this role, we can hire candidates based in the UK, Ireland, Germany, Spain or the Netherlands.

About the Team

About the Role

This is a 12-month fixed term contract. We're at an exciting but demanding point in our data platform journey, and we need extra capacity to help us move faster. There's real, meaningful work to do here — and plenty of scope to make your mark.

We're looking for a Data Platform Engineer to contribute to the design, development, and maintenance of our core data infrastructure. You'll work on pipelines, platform tooling, and data quality, helping us scale reliably and build good engineering habits along the way.

You'll report to the Senior Data Platform Manager and collaborate closely with Analytics, Data Science, and Platform Engineering. This is a hands-on role — you'll spend most of your time building, fixing, and improving, with growing opportunities to shape technical decisions as you settle in.

What you’ll do

Platform development & maintenance

• Build and maintain scalable data pipelines for ingestion, transformation, and delivery across the organization
• Contribute to the design and improvement of our data warehouse and lakehouse architecture
• Help consolidate and improve fragmented tooling, replacing manual processes with automated, repeatable solutions
• Support data quality, lineage tracking, and observability across our pipelines
• Work within our CI/CD workflows and contribute to infrastructure-as-code using tools like Terraform

Collaboration & documentation

• Partner with Analytics Engineering, Data Science, and Platform Engineering to understand data needs and deliver reliable platform capabilities
• Document data workflows, ownership guidelines, and engineering decisions to improve team clarity
• Contribute to the development of shared templates, standards, and best practices for pipeline development

Growth & learning

• Deepen your understanding of streaming architectures, data governance, and modern platform patterns
• Work alongside experienced engineers and take on increasing ownership of platform components over time

What you bring

• Solid experience as a data or software engineer working with data pipelines, warehousing, or platform infrastructure
• Hands-on experience with tools like Python, SQL, Terraform, and CI/CD pipelines
• Familiarity with cloud-native data infrastructure and batch or streaming data processing
• A collaborative mindset and the ability to communicate clearly across technical teams
• Comfort working in ambiguous environments where not everything is defined yet

Extra awesome

• Experience with Kafka or similar streaming technologies
• Exposure to data governance frameworks or data quality tooling
• Background in a B2B SaaS or product-led company
• Familiarity with reverse-ETL, data contracts, or event-driven architectures

We are looking for Senior Backend Engineers (AI-Native) to join a high-velocity squad focused on our B2B and B2C warehouse management ecosystem.
The ideal candidate is an AI-Native Software Engineer who won’t just write code but orchestrate AI agents and assistants to accelerate the entire Software Development Life Cycle (SDLC), ensuring we deliver robust, scalable microservices at a pace traditional development cannot match.

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.

We are seeking an experienced and talented Senior .NET Engineer. 

The Senior Backend Engineer is responsible for designing and implementing high-performance, scalable backend systems for B2C, DTC, and B2B warehouse management applications. This role focuses on building robust microservices architectures, developing high-transactional systems, and leveraging cloud-native technologies to deliver exceptional performance and reliability. The Senior Backend Engineer will work with cutting-edge technologies while mentoring junior team members and contributing to architectural decisions.

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.

Location: 80% onsite in our local Fulfillment center (Ctra. Madrid-Barcelona km, 34.400 28805, Alcalá de Henares, Spain)

Role Description: 

The role is an individual contributor responsible for developing and supporting our partner fulfillment centers to ensure they are all performing to the necessary standards. This role will oversee new startup functions including project management, systems training, and equipment set up. The Operations Support Manager will build solid partnerships with new, and existing, 3PL partner sites by understanding their unique needs and facilitating their success within ShipBob’s dashboard and suite of fulfillment services. This role reports to the Senior Operations Support Manager who also serves as the backup for this role. This role reports to Regional Director, Fulfillment Ops. 

What you will do: 

• Supporting our 3PLs: 
  • Training: Coach and guide our 3PL partners to success defined by our metrics on the ShipBob Scorecard. 
  • Set up tailored training sessions for all stakeholders based on merchant needs and specific dashboard configuration and functionality.  
  • Reinforce training materials, on an on-going basis, provided during Phase I and Phase II training to encourage self-service and seamless interaction with ShipBob dashboard and services. 
• Troubleshoot: Find and Course-Correct. 
  • Support the relationship to handle questions, requests, and issues related to onboarding at ShipBob as a 3PL partner site. 
  • Adoption: Inspire 3PL partner use of Key ShipBob Features and Tools/Dashboard. 
  • Bridge ShipBob 3PL partner objectives with ShipBob capabilities to push use of key functions and features of operational WMS and SOP’s.  
  • Work with the 3PLs to ensure quality closure of internal tickets (proper root cause analysis and resolution). 
• Supporting the execution of Best-in-Class operations.  
  • Timely and accurate Inbound Operations that support fulfilment operations to commence accurately. 
  • Provide accurate, visual, and detailed feedback to our merchants, in case of expectations misalignment, through our support team.  
  • Value Added Service (VAS) Operations are being completed accurately by the 3PL and queries to requirements are being quickly resolved. 
  • Work with Freight partners to organize transport where coordination is required. 
  • Support the development of efficient and scalable kitting solutions as the sites and demand for solutions grow. 
  • Support the 3PL partners on CI and efficiency initiatives.  
  • Lease with ShipBob internal stakeholders to coordinate resources and support 3PLs. 
• Supporting our Merchants: 
  • Perform: Nail Key Performance Indicators (KPIs).  
  • SLAs: Help 3PL partners achieve all key metrics (KPIs and SLAs) which foster a world class merchant experience.  
  • Work with the Merchant Experience Specialists (MES) to understand the Merchant Care Dashboard statistics and trends. Work with the 3PL on their specific improvement plans escalating to the site leadership team and your Line Manager if progress had not been made. 
  • Work closely with Merchant Implementation Managers and Merchant Support Managers to ensure that merchants onboarding/expanding into international locations receive an exceptional onboarding experience through focused action plans in their first 90 days, regular touch points with internal and external stakeholders and ensuring 3PLs understand pick/pack requirements. 
  • Weekly review of space utilization and opportunities to consolidate inventory IDs to reduce costs for the merchant. Work together with the 3PL to execute changes required. 
  • Work with 3PLs to resolve any urgent escalation or out of SLA request, with the merchant top of mind, and communicate outcomes accordingly to both ShipBob and 3PL stakeholders. 
• Supporting our Internal Customers: 
  • Support the operational Support Team (Control Tower) in getting timely responses to operational queries, resolving escalations, and providing general status updates. 
  • Work with Merchant Care and Inventory Control Quality Assurance (ICQA) to ensure internal queries (Jira), our ticketing system, are responded to as thoroughly as possible with trends being resolved more tactically through root cause investigations.  
  • Attending Weekly Business Review calls with our 3PL partners, supporting follow-up actions for completion. 
  • Attend daily stand-up calls with internal teams and take ownership of closing action items. 
  • Provide weekly reporting and visibility to our local commercial team. 
  • Support the National Ops Manager by taking on challenges and being prepared to be the next clear successor for this role.  
• Comply to all food safety and compliance policies and regulations. 
• Additional duties and responsibilities as necessary. 

What you will bring to the table: 

• Demonstrated ability to build solid relationships and get business done. 
• Patience/Resilience: Knack for teaching and helping 3PL partners, ensuring adoption of ShipBob SOP’s, tools, and WMS systems.  
• Enjoyment of standardized processes, with a curious mind and CI mindset.  
• Minimum 4-7 years of operations, e-commerce fulfillment experience, or a fast-paced environment and managing new teams and setting them up for success. 
• Advanced understanding of either outbound or inbound fulfillment operations.  
• Ability to consistently assess partner site needs and deliver solutions along with connecting partners to the appropriate resources within ShipBob. 
• Intermediate skills with Microsoft Office tools (MS Excel) 
• Must have access to a vehicle for travel needs between locations. 

Perks & Benefits: 

• Life Insurance 
• Health Insurance Scheme 
• See Our High-Performing Culture >>> Check us out on Instagram (@lifeatshipbob) 

#LI-DS2

The Team:​

Celonis Services is a strategic services organisation that focuses on the technical aspects of our customers' journeys as well as generating tangible business value during the engagements. It includes Consulting Services, Academy and Customer Support. We are thought leaders with deep product, technical and domain expertise and focus on delivering Celonis implementations, maximizing business value and driving product adoption for our customers. We achieve this by bringing together our best practices, delivery experience, award-winning enablement and support expertise. 

The Role:

As a Lead Consultant, you will accelerate our customers’ digital transformation and drive Celonis’ international expansion. You identify our customers’ strategic priorities and develop data-driven process insights using SQL and create complex data models to ensure that customers receive maximum value. You will become an expert in all kinds of company processes such as Finance, Order Management, Procurement, Warehouse Management, Customer Service, Production, e-Commerce, Opportunity Management, Supply Chain Management. You leverage the newest features and functionalities of the Celonis software, such as Process Analytics, Process Automation, Artificial Intelligence (AI) and Machine Learning (ML). 

The work you’ll do:

Initiate:

• Play a key role in the Celonis implementation project to ensure the optimal solution to tackle the customer’s pain points
• Design innovative analyses and operational apps and enrich them with Machine Learning algorithms or Artificial Intelligence to make the customer’s processes transparent 
• Use our Celonis technology to identify process inefficiencies and understand the root causes, always in close collaboration with the customer

Implement:

• Conduct value workshops to develop business cases and align measures to improve process inefficiencies 
• Quantify the business and financial potential and present the findings to the management 
• Implement our Process Automation technology to speed up the customer’s processes, to drive value and to improve the process conformance rate

Adopt:

• Implement the most relevant KPIs measuring the customer’s success
• Ensure the enablement of the customer to continuously improve processes
• Set the foundation of the path to value to make the long-term customer success journey happen

The qualifications you need:

• Min. 7 years working experience in IT-Consulting, Management Consulting, Process Improvement or a similar area. 
• Hands-on experience applying AI/ML techniques or similar technologies
• Proficiency with SQL or other programming languages (Python, R, Matlab...) and a strong interest in Big Data, Data Mining, and Process Mining
• Strong communication skills in English and enjoy interacting with various customers to understand and interpret business processes
• You are very dedicated and visionary and want to actively drive the Celonis Process Mining technology forward 
• Excellent analytical skills, well organised and known for being a quick learner
• Business acumen is a strong plus, supporting the ability to understand client needs, identify value drivers, and deliver strategic, impact-driven recommendations
• Successfully completed your studies in Business Informatics, Computer Science, Information-oriented Business Administration/ Economics, Mathematics or a comparable degree program

#LI-DB5

The Team:​

Celonis Services is a strategic services organisation that focuses on the technical aspects of our customers' journeys as well as generating tangible business value during the engagements. It includes Consulting Services, Academy and Customer Support. We are thought leaders with deep product, technical and domain expertise and focus on delivering Celonis implementations, maximizing business value and driving product adoption for our customers. We achieve this by bringing together our best practices, delivery experience, award-winning enablement and support expertise. 

The Role:

As a Principal Consultant, you will accelerate our customers’ digital transformation and drive Celonis’ international expansion. You identify our customers’ strategic priorities and develop data-driven process insights using SQL and create complex data models to ensure that customers receive maximum value. You will become an expert in all kinds of company processes such as Finance, Order Management, Procurement, Warehouse Management, Customer Service, Production, e-Commerce, Opportunity Management, Spply Chain Management. You leverage the newest features and functionalities of the Celonis software, such as Process Analytics, Process Automation, Artificial Intelligence (AI) and Machine Learning (ML). 

The work you’ll do:

Initiate:

• Play a key role in the Celonis implementation project to ensure the optimal solution to tackle the customer’s pain points
• Design innovative analyses and operational apps and enrich them with Machine Learning algorithms or Artificial Intelligence to make the customer’s processes transparent 
• Use our Celonis technology to identify process inefficiencies and understand the root causes, always in close collaboration with the customer
• Strategic Advisory: Advise C-level stakeholders (Chief Risk Officers, DPOs) on the regulatory roadmap, helping them navigate the complex landscape of AI compliance.
• Engagement Leadership: Collaborate with senior executives and process owners to define their Responsible AI goals. You will act as the primary point of contact for governance escalations and regulatory roadblocks, ensuring that compliance milestones are met on time.

Implement:

• Conduct value workshops to develop business cases and align measures to improve process inefficiencies 
• Quantify the business and financial potential and present the findings to the management 
• Implement our Process Automation technology to speed up the customer’s processes, to drive value and to improve the process conformance rate

Adopt:

• Implement the most relevant KPIs measuring the customer’s success
• Ensure the enablement of the customer to continuously improve processes
• Set the foundation of the path to value to make the long-term customer success journey happen

The qualifications you need:

• 10+ years working experience in IT-Consulting, Management Consulting, Process Improvement or a similar area. 
• Hands-on experience applying AI/ML techniques or similar technologies
• Proficiency with SQL or other programming languages (Python, R, Matlab...) and a strong interest in Big Data, Data Mining, and Process Mining
• Strong communication skills in English and enjoy interacting with various customers to understand and interpret business processes
• You are very dedicated and visionary and want to actively drive the Celonis Process Mining technology forward 
• Excellent analytical skills, well organised and known for being a quick learner
• Business acumen is a strong plus, supporting the ability to understand client needs, identify value drivers, and deliver strategic, impact-driven recommendations
• Master’s degree or PhD in Law, Political Science, or a related field (e.g., Science & Technology Studies).
• Bonus: Certifications in Privacy (CIPP/E) or AI Governance (e.g., AIGP)

#LI-DB5

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

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

What you'll be doing:

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

We're looking for:

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

Bonus points for:

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

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

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

What you'll be doing:

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

We're looking for:

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

Bonus points for:

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

Are you excited about building modern data infrastructure that empowers self-service analytics at scale? At Super Technologies, data is a strategic enabler of decision-making, experimentation, and performance measurement. Our Analytics Platform team builds the foundations that make data reliable, accessible, and actionable—partnering with product and business teams to measure what matters.
You’ll be joining a mature and growing community of 40+ data engineers who are shaping one of the most advanced data ecosystems in the industry.

What you'll be doing:

• design, build, and optimize scalable ETL/ELT pipelines for high-volume, fast-changing datasets
• apply proven data warehouse methodologies (e.g. Kimball, Inmon) to design and deliver trustworthy, performant data models
• develop and maintain semantic layers and curated data marts to enable analytical self-service across the company
• orchestrate reliable workflows with modern tooling such as Apache Airflow
• enforce data quality, lineage, and observability practices to ensure confidence in our data products
• partner with product, analytics, and engineering teams to co-create scalable data solutions that deliver measurable business value
• raise the engineering bar through code reviews, testing, automation, and architectural improvements

We're looking for:

• strong SQL and Python skills, with solid understanding of distributed data systems and modern data architectures
• deep knowledge of dimensional data modeling (Kimball, Inmon) and hands-on experience building analytical layers in DWHs such as Snowflake or BigQuery
• hands-on experience with cloud platforms (AWS preferred, Azure/GCP also valuable)
• workflow orchestration experience with Airflow or similar tools
• strong ownership mindset—able to work independently, structure work, and partner effectively with technical and non-technical stakeholders
• excellent communication skills with a collaborative, problem-solving approach
• based in Madrid or surrounding area as this will require hybrid work

Bonus points for:

• experience with real-time streaming technologies (Kafka or similar)
• experience with cloud native Analytical databases like Snowflake
• multi-cloud exposure and understanding of platform trade-offs
• background in product-led or experimentation-driven environments
• experience with data governance, cataloging, and documentation practices (e.g. DataHub)

Are you excited about building modern data infrastructure that empowers self-service analytics at scale? At Super Technologies, data is a strategic enabler of decision-making, experimentation, and performance measurement. Our Analytics Platform team builds the foundations that make data reliable, accessible, and actionable—partnering with product and business teams to measure what matters.
You’ll be joining a mature and growing community of 40+ data engineers who are shaping one of the most advanced data ecosystems in the industry.

What you'll be doing:

• design, build, and optimize scalable ETL/ELT pipelines for high-volume, fast-changing datasets
• apply proven data warehouse methodologies (e.g. Kimball, Inmon) to design and deliver trustworthy, performant data models
• develop and maintain semantic layers and curated data marts to enable analytical self-service across the company
• orchestrate reliable workflows with modern tooling such as Apache Airflow
• enforce data quality, lineage, and observability practices to ensure confidence in our data products
• partner with product, analytics, and engineering teams to co-create scalable data solutions that deliver measurable business value
• raise the engineering bar through code reviews, testing, automation, and architectural improvements

We're looking for:

• strong SQL and Python skills, with solid understanding of distributed data systems and modern data architectures
• deep knowledge of dimensional data modeling (Kimball, Inmon) and hands-on experience building analytical layers in DWHs such as Snowflake or BigQuery
• hands-on experience with cloud platforms (AWS preferred, Azure/GCP also valuable)
• workflow orchestration experience with Airflow or similar tools
• strong ownership mindset—able to work independently, structure work, and partner effectively with technical and non-technical stakeholders
• excellent communication skills with a collaborative, problem-solving approach
• based in Zagreb as this will require hybrid work

Bonus points for:

• experience with real-time streaming technologies (Kafka or similar)
• experience with cloud native Analytical databases like Snowflake
• multi-cloud exposure and understanding of platform trade-offs
• background in product-led or experimentation-driven environments
• experience with data governance, cataloging, and documentation practices (e.g. DataHub)