Highlights

Location: Remote (CET hours preferred)

Compensation: €5,400 - €6,400 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

• 31 days off
• 100% paid telemedicine plan
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
• English learning courses
• Relevant professional education
• Gym or swimming pool
• 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.}

Total compensation range: €28,968 - €39,952

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 Poznan, 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 who:

• 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 Polish (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

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  

The health and fitness software and payment processing provider in the United States, Puerto Rico, Canada, and Mexico. Founded in 1981, they currently work with 7,000+ health clubs. Customer offerings include payment processing and gym management solutions that allow managers to track memberships and schedules and automate payment processing functions.

Project Team 

Team composition: 4 Senior Data Engineers, 1 Project Manager, 1 Business Analyst, 1 QA Engineer, and 2 BI Engineers.

Project Tech Stack 

Main Tech Stack: Databricks (Spark, Delta Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL.

What You’ll Do

• Design and implement scalable data pipelines and lakehouse architectures using Databricks (Delta Lake, Spark)
• Execute migration from Azure Synapse to Databricks, ensuring performance, and reliability improvements
• Develop and optimize Databricks Data Warehouse for analytics and BI workloads
• Build and maintain semantic models to support enterprise reporting and self-service analytics
• Partner with analytics and business teams to deliver high-quality Power BI datasets and dashboards
• Write, optimize, and tune complex SQL queries for large-scale analytical workloads
• Ensure data quality, reliability, and governance across the analytics platform
• Contribute to architecture decisions, best practices, and standards for data engineering

What You Bring

• 5+ years of experience in data engineering or analytics engineering roles
• Strong hands-on experience with Databricks (Spark, SQL)
• Advanced SQL skills, including performance tuning and query optimization
• Experience migrating data platforms, ideally Azure Synapse → Databricks
• Experience with Power BI, including dataset modeling
• Strong understanding of Kimball Data Warehousing approach, star schemas, and analytics best practices
• Experience working with cloud data platforms

English level 

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.

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  

The health and fitness software and payment processing provider in the United States, Puerto Rico, Canada, and Mexico. Founded in 1981, they currently work with 7,000+ health clubs. Customer offerings include payment processing and gym management solutions that allow managers to track memberships and schedules and automate payment processing functions.

Project Team 

Team composition: 4 Senior Data Engineers, 1 Project Manager, 1 Business Analyst, 1 QA Engineer, and 2 BI Engineers.

Project Tech Stack 

Main Tech Stack: Databricks (Spark, Delta Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL.

What You’ll Do

• Design and implement scalable data pipelines and lakehouse architectures using Databricks (Delta Lake, Spark)
• Execute migration from Azure Synapse to Databricks, ensuring performance, and reliability improvements
• Develop and optimize Databricks Data Warehouse for analytics and BI workloads
• Build and maintain semantic models to support enterprise reporting and self-service analytics
• Partner with analytics and business teams to deliver high-quality Power BI datasets and dashboards
• Write, optimize, and tune complex SQL queries for large-scale analytical workloads
• Ensure data quality, reliability, and governance across the analytics platform
• Contribute to architecture decisions, best practices, and standards for data engineering

What You Bring

• 5+ years of experience in data engineering or analytics engineering roles
• Strong hands-on experience with Databricks (Spark, SQL)
• Advanced SQL skills, including performance tuning and query optimization
• Experience migrating data platforms, ideally Azure Synapse → Databricks
• Experience with Power BI, including dataset modeling
• Strong understanding of Kimball Data Warehousing approach, star schemas, and analytics best practices
• Experience working with cloud data platforms

English level 

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.

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  

The health and fitness software and payment processing provider in the United States, Puerto Rico, Canada, and Mexico. Founded in 1981, they currently work with 7,000+ health clubs. Customer offerings include payment processing and gym management solutions that allow managers to track memberships and schedules and automate payment processing functions.

Project Team 

Team composition: 4 Senior Data Engineers, 1 Project Manager, 1 Business Analyst, 1 QA Engineer, and 2 BI Engineers.

Project Tech Stack 

Main Tech Stack: Databricks (Spark, Delta Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL.

What You’ll Do

• Design and implement scalable data pipelines and lakehouse architectures using Databricks (Delta Lake, Spark)
• Execute migration from Azure Synapse to Databricks, ensuring performance, and reliability improvements
• Develop and optimize Databricks Data Warehouse for analytics and BI workloads
• Build and maintain semantic models to support enterprise reporting and self-service analytics
• Partner with analytics and business teams to deliver high-quality Power BI datasets and dashboards
• Write, optimize, and tune complex SQL queries for large-scale analytical workloads
• Ensure data quality, reliability, and governance across the analytics platform
• Contribute to architecture decisions, best practices, and standards for data engineering

What You Bring

• 5+ years of experience in data engineering or analytics engineering roles
• Strong hands-on experience with Databricks (Spark, SQL)
• Advanced SQL skills, including performance tuning and query optimization
• Experience migrating data platforms, ideally Azure Synapse → Databricks
• Experience with Power BI, including dataset modeling
• Strong understanding of Kimball Data Warehousing approach, star schemas, and analytics best practices
• Experience working with cloud data platforms

English level 

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.

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  

The health and fitness software and payment processing provider in the United States, Puerto Rico, Canada, and Mexico. Founded in 1981, they currently work with 7,000+ health clubs. Customer offerings include payment processing and gym management solutions that allow managers to track memberships and schedules and automate payment processing functions.

Project Team 

Team composition: 4 Senior Data Engineers, 1 Project Manager, 1 Business Analyst, 1 QA Engineer, and 2 BI Engineers.

Project Tech Stack 

Main Tech Stack: Databricks (Spark, Delta Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL.

What You’ll Do

• Design and implement scalable data pipelines and lakehouse architectures using Databricks (Delta Lake, Spark)
• Execute migration from Azure Synapse to Databricks, ensuring performance, and reliability improvements
• Develop and optimize Databricks Data Warehouse for analytics and BI workloads
• Build and maintain semantic models to support enterprise reporting and self-service analytics
• Partner with analytics and business teams to deliver high-quality Power BI datasets and dashboards
• Write, optimize, and tune complex SQL queries for large-scale analytical workloads
• Ensure data quality, reliability, and governance across the analytics platform
• Contribute to architecture decisions, best practices, and standards for data engineering

What You Bring

• 5+ years of experience in data engineering or analytics engineering roles
• Strong hands-on experience with Databricks (Spark, SQL)
• Advanced SQL skills, including performance tuning and query optimization
• Experience migrating data platforms, ideally Azure Synapse → Databricks
• Experience with Power BI, including dataset modeling
• Strong understanding of Kimball Data Warehousing approach, star schemas, and analytics best practices
• Experience working with cloud data platforms

English level 

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.

❗️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.

We’re looking for a motivated and hands-on Mechanic who will ensure that our fleet of e-scooters is always maintained at the highest quality. This is a full-time employment opportunity.

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

You’ll be in charge of quickly and efficiently identifying and fixing any damages to our fleet of vehicles. You have a keen eye for detail and will ensure that every ride on our e-scooter is safe and reliable.

In addition, you’ll perform thorough safety tests on our vehicles to make sure that they are roadworthy. We aim to provide customers with a top-notch transport experience, and your dedication to maintaining high safety standards will help us achieve this.

• Ensuring the highest quality for our e-scooters by conducting general repair work and check-ups.
• Inspecting the e-scooters in use and identifying problems within the different parts of the product. 
• Testing e-scooters before releasing them to ensure their quality and safety standards. 
• Putting new e-scooters into service: unpacking, doing quality checks, adding necessary equipment, ensuring safety, and troubleshooting.
• Assisting with warehouse operations, including inventory and battery management, shipments, and general housekeeping. 

• You demonstrate a high level of attentiveness and accuracy in your work. 
• You possess the knowledge and skills to operate various hand and power tools.
• Your proactive approach and willingness to take ownership of challenges are reflected in your hands-on work.
• You have experience in repairing mechanical devices, particularly in the automotive or electronic repair fields.
• You have solid local language skills and experience using smartphones.
• Having English skills is an advantage.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

• Play a direct role in shaping the future of mobility.
• Work in fast-moving teams with some of the smartest people in the world
• Accelerate your professional growth with unique career opportunities.
• Take advantage of Bolt credits to ride our scooter and use our ride-hailing services for free.
• Enjoy various team events to get to know your colleagues.

*Some perks may differ depending on your location and role.

We’re looking for a motivated and hands-on Mechanic who will ensure that our fleet of e-scooters is always maintained at the highest quality. This is a full-time employment opportunity.

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

You’ll be in charge of quickly and efficiently identifying and fixing any damages to our fleet of vehicles. You have a keen eye for detail and will ensure that every ride on our e-scooter is safe and reliable.

In addition, you’ll perform thorough safety tests on our vehicles to make sure that they are roadworthy. We aim to provide customers with a top-notch transport experience, and your dedication to maintaining high safety standards will help us achieve this.

• Ensuring the highest quality for our e-scooters by conducting general repair work and check-ups.
• Inspecting the e-scooters in use and identifying problems within the different parts of the product. 
• Testing e-scooters before releasing them to ensure their quality and safety standards. 
• Putting new e-scooters into service: unpacking, doing quality checks, adding necessary equipment, ensuring safety, and troubleshooting.
• Assisting with warehouse operations, including inventory and battery management, shipments, and general housekeeping. 

• You demonstrate a high level of attentiveness and accuracy in your work. 
• You possess the knowledge and skills to operate various hand and power tools.
• Your proactive approach and willingness to take ownership of challenges are reflected in your hands-on work.
• You have experience in repairing mechanical devices, particularly in the automotive or electronic repair fields.
• You have solid local language skills and experience using smartphones.
• Having English skills is an advantage.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

• Play a direct role in shaping the future of mobility.
• Work in fast-moving teams with some of the smartest people in the world
• Accelerate your professional growth with unique career opportunities.
• Take advantage of Bolt credits to ride our scooter and use our ride-hailing services for free.
• Enjoy various team events to get to know your colleagues.

*Some perks may differ depending on your location and role.

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.

#LI-HYBRID - if you want LinkedIn to post your role as hybrid in all the locations where the role is open ---> leave this tag in JD
#LI-AA1 

You can make the tag invisible on the job post by making the color of the tag white, for this go to ---> Format - Text color and choose white colour for your tag(s)

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.

Duties and Responsibilities

• Program coding experience
• JCL and/or script coding experience
• MXG or like tools expertise
• Microsoft Office proficiency
• Manage multiple projects with minimal support and continuing shifting priorities
• Support multiple client environments each having unique requirements and requests
• Database and data warehouse concepts and experience
• Weekend support infrequent but possible (1 out of 10 weekends)
• Support team on-call rotation
• KPI identification and definition
• Developing client forecasting models
• Mainframe resources should possess ZCP3000 experience
• Mainframe resources IBM pricing concepts and SCRT eperience
• Proficient in identifying system performance issues
• Knowledge of system OS internals
• Expert level verbal and written communication skills
• Onboarding and outmigration project support responsibilities
• Mastery level knowledge and practical comprehension of corporate IT computing processes and methodologies
• Brings prior experience to organize and define work for complex or ambiguous situations
• Provides consultation, training, and knowledge sharing to associates
• Provide mentoring to lower level job roles as needed
• Define technical strategies within the team and unit
• Provide Support and technical expertise and guidance to other teams and towers
• Lead and mentor on high complexity assignments to other associates on the team
• Establish strong relationships with teams and outsource partners through continuous dialogue and support
• Enable team members to be successful by providing opportunities for continual learning and professional growth   
• Perform comprehensive impact analysis of system performance parameters on the OS and support subsystems
• Provide technical expertise for client inboard / outboard activities
• Define, engineer, and deploy automation solutions for capacity team supported processes
• Perform Analytic Modeling tools used to right-size solutions
• Provide support on ARCH designs for new client opportunities and TECH refreshes
• Principle transformation partner of enterprise and supported clients’ IT processing technologies
• Innovation thought leader on emerging  technologies and automation solutions

Qualifications

• Required - Typically requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or equivalent work experience
• Preferred - Understands the competitive landscape from both a business and technical perspective
• Travel % - 10%
  
  

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.

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.

A Career with Point72’s Technology Group

As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.

We’re looking for individuals that are highly proficient in their respective technology platform, articulate, solution driven, client focused, and proactive in building their technology skills.

What you’ll do

You will be part of the team that builds a multitenant data platform to onboard internal and external data sources and perform a central role in data ingestion, consumption, and cataloguing. You will join a team of experts in data pipelines focusing on data streaming and acquisition, storage of the data in multiple forms (raw, normalized, operational vs historical), ELT, transformation, distribution, access layers for different types of technical access and entitlements. Building and enhancing our data platform includes applying data lake components with raw data, joined operational data, a warehouse for history and API, and an access layer, across on prem and cloud technologies and clients. In this role, you will be responsible for leading and providing best practices for the team managing the Data Platform on AWS for our Firm. You will work closely with the architect/business for gathering requirements and delivering. As a Lead Python Engineer, you will be:

• Working together with Engineering Managers and the rest of Leadership team in Poland and US

• Planning projects and successfully delivering them with the team

• Building data ingestion pipelines in the cloud and assisting in extending our AWS cloud offering

• Working extensively in Databricks platform and leveraging all of the Databricks features (pipelines, Unity Catalogue, streaming, etc)

• Improving excellence of the team, processes, and practices within the company

• Working with customers towards a project’s success

What’s required

The ideal candidate should be experienced in Python and AWS Cloud with good communication skills.

• Excellent Python and software craftsmanship skills (more than 3 years)

• Experience with working in microservices framework and event-driven architectures

• Experience with Spark (building scalable and maintainable pipelines in PySpark and Scala)

• Experience with Spark Streaming (building low latency pipelines)

• Experience with Delta format (opensource Delta Lake project)

• Experience with Kubernetes

• Experience with MongoDB

• Experience with AWS Cloud

• Commitment to the highest ethical standards

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Sports card

• Private life insurance

• Private medical and dental care, with vision allowance

• Private pension scheme

• Volunteer opportunities

• Support for employee-led affinity groups representing women, people of color and the LGBT+ community

• Business travel accident insurance

• Employee assistance program

• Educational assistance reimbursement

About Point72

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here

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.

We are ShipMonk, and we provide logistics services in order fulfillment. Our main business is in the USA, but our modern platform is built by the Product Development team in Prague.

Here at ShipMonk, we process up to 100,000 orders per day in our peak season. Our book of business has more than 1,500 clients which are small and medium e-shops, mostly based in the US. We offer the ShipMonk platform as the solution for the whole process.  It covers everything from stocking the items to shipping the ready packages to all corners of the world!

The Opportunity

We are currently looking for a Senior (or above) PHP Developer to join our Product Development team in the Czech Republic or Poland. ShipMonk is a leader in e-commerce fulfillment, providing a comprehensive platform for stocking, processing, and shipping orders globally. While our business core is in the USA, our technical foundation is built and scaled by our engineers in Prague. We currently support over 1,500 clients and manage a high-volume environment that processes up to 100,000 orders per day during peak seasons.

Our Inbound domain powers the journey of every product entering ShipMonk’s network. Connecting suppliers, merchants, carriers, and warehouse operations in real time. You’ll design systems where speed, accuracy, and visibility are not buzzwords but measurable outcomes. Your code directly influences how fast businesses can sell and how reliably customers receive their orders.

We are transitioning from a high-growth scale-up to a mature, domain-driven architecture. The real work here isn't just shipping features; it’s orchestrating a distributed system that communicates with autonomous robots, iOS-based warehouse hardware, and conveyors in real-time. We are looking for engineers who care about race conditions, SQL optimization at the terabyte scale, and designing systems that survive the "Black Friday" surge without manual intervention.

The Stack

We maintain a highly automated, modern environment. Our main backend application provides a REST-like API for a diverse ecosystem of clients including web applications, autonomous robots, iOS picker devices, and automatic conveyors.

• Backend & DB: PHP 8.5, Symfony 7.4, Doctrine ORM 3, and MySQL 8 (terabyte-sized).
• Infrastructure: Everything is dockerized for local development and deployed to AWS-hosted Kubernetes via Argo CD multiple times a day.
• Workflow & CI/CD: We utilize a monorepo and GitLab CI with a comprehensive suite of checks (PHPStan, PHP_CodeSniffer, PHPUnit, migration check, security scans). We automate our own coding rules through dozens of custom PHPStan rules and sniffs.
• Testing & Reliability: We maintain over 15,000 database integration tests with independent datasets. Production is verified through two-round reviews.
• Observability: We handle HA, failover, and autoscaling across all services supported by DataDog, Sentry, and Opsgenie.

The Impact

We don’t manage your hours; we manage outcomes. We value technical excellence paired with a business-oriented mindset. You are expected to:

• Engineering for Impact: You understand that code is a tool to solve business problems. You can weigh the trade-offs between technical "perfection" and the practical needs of the business, ensuring your work directly helps ShipMonk grow and stay reliable.
• Architectural Ownership: You aren't just a coder; you are a system designer. You will take full responsibility for the technical design and implementation of features that handle high concurrency and mission-critical warehouse logic.
• Data-Driven Performance: With a database in the terabyte range, SQL optimization is part of the daily routine. You will focus on building high-availability services where failover and autoscaling are standard requirements.
• High Signal, Low Noise: Our culture is built on deep work and asynchronous clarity via Asana. We keep meetings to the absolute minimum so you can focus on high-leverage engineering.
• Technical Rigor: You will participate in a strict two-round review process and maintain our high standards for automated documentation. We also contribute back to the community by open-sourcing our best tools (https://github.com/shipmonk-rnd).

ShipMonk is a place where your engineering decisions have a visible, immediate impact on how goods move around the world. We are looking for colleagues who are ready to take ownership, challenge the status quo, and build the future of logistics technology with us. If you are looking for a role where technical complexity meets real-world scale, we look forward to hearing from you.

Ready to move the physical world with code? [Apply via our recruiter – No Cover Letter Needed, Just your Profile/GitHub]

CAPCO POLAND

*We're looking for Poland-based candidates.

Capco is a global management and technology consultancy dedicated to the financial services industry. We partner with leading banks, insurers, and fintechs to deliver data-driven transformation, operational excellence, and innovative digital solutions.

Role Overview: 

We are looking for a Data Architect to join a strategic client project where architecture design, technology selection, and implementation alignment are critical to success.

This is a consulting role for a professional who combines strong architectural thinking with hands-on technical expertise. You will bridge business data requirements, logical and physical data models, cloud platforms (GCP/Azure), and implementation realities.

You will be responsible for shaping end-to-end data architecture — from conceptual and logical models, through tooling recommendations, to supporting implementation teams in building scalable, secure, and future-ready data platforms.

What You’ll Do:

Data Architecture Design

• Define target data architecture aligned with business and governance requirements
• Design conceptual, logical, and physical data models
• Establish data integration patterns (batch, streaming, APIs)
• Define data storage, processing, and consumption layers (lake/lakehouse/warehouse paradigms)
• Ensure alignment between data architecture and enterprise architecture standards

Cloud & Platform Architecture (GCP / Azure)

• Design scalable cloud-native data platforms on GCP and/or Azure
• Define architecture patterns leveraging services such as:
  • GCP (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage)
  • Azure (Synapse, Data Factory, Databricks, ADLS, Event Hub)
• Ensure security, IAM, data protection, and cost-efficiency principles are embedded
• Design DevOps/DataOps approaches for CI/CD and infrastructure-as-code

Tooling Recommendations

• Assess current data ecosystem and identify architecture gaps
• Recommend appropriate tools for ingestion, transformation, storage, metadata, and data quality
• Define selection criteria and evaluate vendors/platform components
• Ensure tooling decisions align with scalability, governance, and long-term maintainability

Implementation Support & Technical Leadership

• Provide hands-on support in prototyping and validating architecture decisions
• Guide engineering teams during implementation
• Review code, pipelines, and data models where needed
• Resolve architectural blockers and technical risks
• Ensure performance optimisation and reliability of data solutions

What We’re Looking For

• Proven experience as a Data Architect or Senior Data Engineer in transformation projects
• Strong understanding of data modelling (conceptual, logical, physical)
• Hands-on experience building data platforms in GCP and/or Azure
• Strong knowledge of modern data architecture patterns (lakehouse, data mesh, event-driven architectures)
• Experience designing and implementing ETL/ELT pipelines
• Solid understanding of SQL, distributed data processing, and cloud-native architectures
• Practical experience with DevOps/DataOps practices
• Ability to translate business requirements into scalable technical designs

Technical Skills (Expected Hands-On Experience)

• Cloud: GCP and/or Azure
• Data Warehousing & Lakehouse architectures
• SQL and data transformation frameworks
• Orchestration tools (e.g., Airflow, Azure Data Factory)
• Infrastructure as Code (e.g., Terraform) – nice to have
• CI/CD pipelines for data platforms
• Experience working with large-scale structured and semi-structured datasets

Ideal Profile

• Strong technical background with architectural mindset
• Comfortable switching between whiteboard design and hands-on validation
• Experience working in consulting or complex transformation environments
• Ability to communicate architecture decisions clearly to both business and technical stakeholders
• Pragmatic, solution-oriented, delivery-focused

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

Recruitment Process:

• HR Interview
• Hiring Manager Technical Interview
• Client Interview
• Feedback and offer

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.