Data Product Specialist with Google Stack (f/m/x)

We are looking for a highly experienced, strictly hands-on
Senior Full Stack Engineer (Python)
to join a senior engineering team. You will drive the delivery and modernization of a complex B2B SaaS platform used by global enterprise clients. In this role, you will build new product modules end-to-end, from technical specification through to production deployment, while modernizing a mature codebase.

Responsibilities

• Build new platform modules end-to-end: translate business requirements into technical specs (use cases, data models, API designs) through to production deployment
• Execute modernization of the Python/Flask codebase - clean layered architecture, reduced technical debt, improved testability
• Act as quality gate for all AI-generated code - catching logic errors, security issues, and architectural violations
• Partner with the Intelligence Systems Engineer on features touching the AI/agent layer
• Collaborate with the Angular Architect on API contracts and frontend integration
• Write operational documentation: changelogs for QA, operations guides for DevOps, architecture docs for developers
• Proactively identify and address security concerns during development

Requirements

• Proven commercial experience as a Senior Backend or Full Stack Engineer, actively engaged in hands-on coding (no pure advisory roles).
• Strong proficiency in modern Python, with a focus on writing clean, type-safe, and well-documented code.
• Solid experience with Python web frameworks (e.g., Flask, FastAPI, Django) and a good understanding of web application architecture.
• Expertise in relational databases (preferably PostgreSQL), SQL, and schema design.
• Strong security mindset with a proven ability to identify, understand, and mitigate real-world web vulnerabilities.
• Hands-on experience using AI coding tools (Copilot, Cursor, Claude) as part of your daily workflow, paired with a critical eye for reviewing AI-generated code.
• Experience working with containerization (Docker, Kubernetes) and background processing systems (e.g., Redis, Celery).
• Excellent independent problem-solving skills and the ability to navigate complex codebases.

Nice to have

• Proven experience decomposing monolithic/legacy codebases into a clean, layered architecture.
• Hands-on modernization experience within mature, production-grade SaaS products.
• Familiarity with Python ORMs (e.g., SQLObject, SQLAlchemy).

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

About Us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

MWDN is a global IT outstaffing company with 23+ years of experience that connects exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. We offer opportunities to work on international products in a stable and professional environment.

Why does MWDN rock?:

Here’s what you can expect when you join MWDN:

• Security: We carefully vet our clients to minimize risks and ensure reliability and timely payments - no fraud or unpleasant surprises.
• Career support: If a project isn’t the right fit, we support you and actively help find new opportunities that match your skills and career goals.
• Legal assistance: We provide guidance on legal matters, including opening and managing your independent contractor or sole proprietorship status, taxes, and related processes.
• Professional development: We offer English courses and professional growth opportunities, as well as team-building events.

Why choose us? MWDN is ranked among the top 5 IT employers in our region according to DOU. We take pride in our transparency and strong commitment to our team. Curious to learn more? See what our employees say about working with us on DOU.

What is your new project?:

Domain: AdTech / Data Infrastructure & Business Intelligence

Client Location: United States

Company Size: 11–50

Founded: 2018

What makes this project exciting?:

We're looking for a Senior Data Engineer to build and scale the data infrastructure that powers our business intelligence platform. You'll work with massive volumes of ad server data, CRM data, and a variety of ancillary data sources to power real-time analytics by designing, maintaining, and enhancing pipelines that process billions of events.

This role sits at the intersection of ad-tech domain expertise and modern data engineering. You'll build systems that ingest data from SSPs, DSPs, ad servers, and various other data sources, transform it into actionable insights, and power dashboards that help our internal and external customers optimize campaigns, manage workflows, and drive efficiency and growth for everyone.

What Makes You a Great Fit

• 5+ years of professional data engineering experience
• 2+ years working with programmatic advertising and ad-tech data (GAM)
• Strong proficiency in Python and SQL
• Hands-on experience with data warehouses (BigQuery, Snowflake, Redshift, ClickHouse)
• Experience with batch processing frameworks (Spark, dbt, Airflow)
• Understanding of ad-tech data structures: bid requests, impressions, OpenRTB schemas, log-level data
• Experience with cloud platforms (AWS, GCP) and infrastructure-as-code
• Ability to work partial US work hours (available until 2pm ET)

Ad-Tech Data Experience
Data Sources (Familiarity Required):

• SSP reporting APIs and log-level data (Magnite, PubMatic, Index Exchange, Xandr)
• Google Ad Manager (GAM) reporting, Data Transfer files, and BigQuery exports

Data Models & Metrics

• Revenue metrics: CPM, eCPM, RPM, fill rate, win rate, bid density
• Auction analytics: bid landscape, floor optimization, timeout analysis
• Demand partner performance: SSP/bidder scoring, latency analysis, viewability metrics, reach/frequency, IVT
• Supply chain data: ads.txt validation, sellers.json mapping, SPO analysis

Technical Stack

• Languages: Python, SQL, Scala (nice to have)
• Processing: Apache Spark, dbt, Apache Flink
• Warehouses: BigQuery, Snowflake, ClickHouse, Redshift
• Orchestration: Airflow, Dagster, Prefect
• Storage: S3, GCS, Delta Lake, Parquet
• Infrastructure: AWS, GCP, Terraform, Kubernetes

Nice to Have

• Experience with ML feature engineering for bid optimization or yield prediction
• Background in building data products for publisher-side monetization
• Familiarity with privacy-preserving data techniques (differential privacy, clean rooms)
• Experience with CTV/OTT advertising data and video ad metrics
• Knowledge of identity resolution and cross-device data challenges

Your Day-to-day In This Position

• Design and build and enhance scalable data pipelines for processing data from a variety of ad server and ancillary data sources
• Ingest and normalize data from multiple SSPs, DSPs, ad servers (GAM), and third-party reporting APIs
• Develop ETL/ELT workflows to transform raw data into analytics-ready datasets
• Create data models for campaign performance optimization, supply analysis, supply allocations, and profit maximization
• Build and maintain data warehouses and lakes optimized for ad-tech query patterns
• Implement data quality monitoring, validation, and anomaly detection for data streams
• Support Executive, BI and analytics teams with clean, documented, and performant data infrastructure
• Ensure data privacy compliance (GDPR, CCPA) in data collection, storage, and processing

Why work with us?:

• People-first management with minimal bureaucracy
• A friendly company culture, proven by employees who choose to return
• Flexible working hours
• 29 days of PTO (18 working days per year pluse all national holidays)
• 10 paid recovery days
• Full financial and legal support for independent contractors
• Free English classes, with native speakers or Ukrainian teachers
• Dedicated HR support

Our Next Steps
✅ Intro call with a Recruiter — ✅ Introductory interview with the Client — ✅ Home assignment — ✅ Final client interview— ✅ Offer

WHAT IS BOX?
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.

By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.

WHY BOX NEEDS YOU
Data Engineering initiative inside box is expanding and this role will help build the data platform engineering features and capabilities of the cloud cost management platform.

In this role you will be working alongside our team building data pipelines, support our product and analytics team members, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

What You'll Do

• Work with a team of high-performing data engineers and analysts to identify business opportunities, design and build scalable data solutions
• Build and own data pipelines that clean, transform, and aggregate data from disparate sources
• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using GCP BigQuery and Spark
• Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
• Influence across teams and other functions, build best practices across the organization

Who You Are

• 3+ Years of relevant industry or relevant academia experience working with large amounts of data

• Experience building and optimizing scalable data pipelines, architectures and data sets

• Be cognizant of emerging technology trends and find adoption opportunities to improve existing development processes

• Expert in SQL

• Experience with scripting language: Python or NodeJS

• Experience with GCP (BigQuery, Dataproc, Dataflow/Fusion)

• Experience with big data tools like: Hadoop, Spark, Kafka, etc

• Strong analytic skills related to working with structured and unstructured datasets

• Experience supporting and working with cross-functional teams in a dynamic environment

• Familiarity with Virtualization/container abstractions and orchestration (Kubernetes or Docker, etc.)

• Familiarity with Visualization software: Tableau

• Familiarity with frontend web framework: React

• Preferred skills

• Experience with at least one of the programming languages: Scala, Java

Benefits
Check out the overview of Life at Box which include general perks and benefits.

Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process.

At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!

EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.

For details on how we protect your information when you apply, please see our Personnel Privacy Notice.

For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice.

Role Highlights

• System Engineer
• Location: Espoo, Finland or Warsaw, Poland
• Department: Mission line of business
• Reports to: Director Delivery and Support
• Employment type: Permanent
• Workplace model: Hybrid
• Employment is subject to applicable security screening (incl. SUPO, where required)

Why This Role Matters
This role supports the growth of the Mission business, specifically focusing on the assembly, configuration, and installation of ground systems for ICEYE Missions customers. These ground systems (small 24U server racks) process the satellite data into images. The systems are assembled in ICEYE HQ in Espoo, or at a sub-contractor in Warsaw, and are then shipped to customer locations, often military bases.

Who We Are
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.

ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.

ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.

Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.

Your Day-to-day Responsibilities

• Successful ground system deployment and operation: Ground systems are assembled, configured, and installed correctly and efficiently at customer sites, leading to reliable processing of satellite data into images.
• Effective customer technical interaction: Clearly explain technical concepts and work collaboratively with customer technical staff, internal stakeholders and partners, fostering strong relationships and ensuring smooth system integration.
• Adherence to technical standards and qualifications: The role requires strong technical expertise in specified technologies (Dell VxRail, VMWare, Kubernetes) and relevant certifications, ensuring high-quality work and compliance.
• Adaptability and operational readiness: You must be able to thrive in a dynamic environment, adapt to occasionally changing timelines and participate in an on-call rotation after onboarding to provide continuous support. The role requires occasional traveling to customer sites.

What We’re Looking For

• Technical Expertise: Strong technical expertise and experience working with similar technologies. Crucially, this includes advanced network management and firewall orchestration (installing/maintaining firewall rules, managing firmware, sub-network creation, and inter-network routing). Experience with Dell VxRail products, VMWare, and Kubernetes is required.
• Automation Focus: Strict aversion to "click-ops." Candidates must possess the ability to create version-controlled configurations and leverage automation tools—including the proactive use of AI-assisted tooling—to build and execute automated deployment pipelines.
• Communication: Good communication skills are essential as part of the work is to interact with customer technical staff. In the interview, candidates should be able to clearly explain their experience working with servers, storage, switches, and firewalls, and their experience working with customers.
• Qualifications: Certifications of technologies and formal qualifications are expected.
• Adaptability: Ability to work effectively in a dynamic environment where timelines may be subject to sudden changes. Work requires occasional traveling, perhaps 10-15% of the total working time. Willingness to participate in an on-call rotation is expected after a 6-month onboarding period.

Application Process

• Initial interview with Talent Attraction
• Technical Assignment with Senior System Engineers
• Hiring Manager Interview with Director Delivery and Support
• Executive Meeting with SVP Mission line of business
• References

Working at ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.

How We Work (Our Values)
Make the impossible possible
: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.

• Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
• See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
• Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
• Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
• Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.

Benefits
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.

Our Commitment to Diversity, Equity, and Inclusion
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.

We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.

Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com.