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

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

✅ Responsibilities:

Data Management and Maintenance

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

Operations Support

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

Collaboration and Communication

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

Compliance and Security

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

Day-to-Day Activities

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

On-Call Rotations

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

✅ Requirements:

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

Nice to have:

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

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

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

Role Summary and Impact 

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Cloud Engineer with a passion for building robust, scalable, and secure cloud infrastructure. You'll play a crucial role in designing, implementing, and optimizing the cloud environments that power our innovative data products and AI platforms, including WPP Open. If you thrive in a fast-paced AdTech environment, enjoy solving complex technical challenges, and are eager to contribute to the future of marketing technology, we want to hear from you. 

You are: 

• A hands-on problem solver who enjoys architecting and implementing cloud solutions from concept to production. 
• Customer-focused and collaborative, keen to understand the needs of developers, data scientists, and product teams. 
• Committed to automation and operational excellence, always looking for ways to improve efficiency and reliability. 
• Curious and adaptable, eager to learn new technologies and best practices in the rapidly evolving cloud and AdTech landscapes. 
• Security-aware, with a strong understanding of best practices for securing cloud environments and data. 

What You will do:

Design and Implement Scalable Cloud Infrastructure 

• Design, deploy, and manage highly available, scalable, and secure cloud infrastructure on GCP platform to support our data products, AI platforms, and AdTech solutions. 
• Utilize Infrastructure as Code (IaC) tools like Terraform or CloudFormation to provision and manage cloud resources consistently and efficiently. 
• Work closely with data scientists, software engineers, and product teams to understand requirements and translate them into robust cloud architectures. 

Drive Automation and Operational Excellence 

• Develop and maintain CI/CD pipelines to automate the deployment, testing, and release processes for cloud-native applications and infrastructure changes. 
• Implement and manage monitoring, logging, and alerting solutions to ensure the health, performance, and security of our cloud environments. 
• Identify and implement optimizations for cloud resource utilization, cost management, and operational efficiency. 

Ensure Security and Compliance 

• Implement and enforce cloud security best practices, including identity and access management (IAM), network security, data encryption, and compliance controls. 
• Participate in security audits and vulnerability assessments, ensuring our infrastructure adheres to internal policies and industry regulations (e.g., GDPR, CCPA). 
• Develop and maintain disaster recovery and business continuity plans for critical cloud services. 

Collaborate and Innovate 

• Act as a subject matter expert on cloud technologies, providing guidance and support to development teams. 
• Participate in architectural reviews and contribute to strategic planning for the evolution of our cloud ecosystem. 
• Research and evaluate new cloud services and technologies to recommend innovative solutions that enhance our capabilities and competitive edge. 

Skills and Experience 

If this opportunity looks right for you, we are looking for candidates who have:  

• 3+ years of experience as a Cloud Engineer, DevOps Engineer, or similar role focusing on cloud infrastructure.
• Strong expertise with at least one major cloud provider (GCP, or Azure). Experience with GCP is highly preferred given our existing ecosystem.
• English fluency B2/C1.
• Proficiency with Infrastructure as Code (IaC) tools, particularly Terraform.
• Solid understanding of containerization technologies such as Docker and orchestration platforms like Kubernetes.
• Experience with CI/CD tools and methodologies (e.g., GitLab CI, Jenkins, ArgoCD).
• Strong scripting skills in languages like Python, Bash.
• Familiarity with database technologies, both relational (e.g., PostgreSQL) and NoSQL (e.g., Neo4j, DynamoDB, BigQuery), and experience managing them in cloud environments.
• Understanding of cloud networking concepts (VPC, VPN, DNS, Load Balancers) and security best practices.
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack, Datadog, CloudWatch, Stackdriver).
• Excellent problem-solving skills and the ability to troubleshoot complex distributed systems.
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Cloud certifications (e.g., Google Professional Cloud Architect) are a significant plus. 

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include access to internal learning platforms, certifications, and training sessions, life insurance, medical care & sports card in Medicover, funding for English language learning, employee mental health awareness day, and more.  

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. We are committed to offering equal opportunities to all employees, which is why we only establish collaborations based on employment contracts. 

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office two days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Following a detailed review of all applications, we will contact those candidates whose qualifications and stated terms of cooperation most closely align the objectives of our recruitment process.

The controller of your personal data is the WPP Media Poland sp. z o.o.The personal data you provide will be processed for the purpose of the recruitment process.  By providing us with personal data beyond the scope required by the Labour Code, you consent to the processing of such data for the purposes of the recruitment process.  Consent may be withdrawn at any time. Withdrawal of consent does not affect the lawfulness of the processing carried out prior to its withdrawal. For evidence purposes, please withdraw your consent in writing or by email to RODO@wppmedia.com. 

Location: Poland

We Are:
RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel.

You Will:
As a Senior Technical Researcher/Engineer within the AdTech Technical Research Team, you'll play a pivotal role in exploring and understanding the latest technologies in the ad tech domain. You'll be responsible for conducting in-depth research, experimenting with new technologies, and collaborating with cross-functional teams to assess their potential for integration into our systems. Your role will involve a blend of programming, research, and analytical skills to evaluate the effectiveness and feasibility of various ad tech solutions.

Desired Experience:

• 5+ years of experience as researcher or engineer.
• Strong technical proficiency: programming skills and the ability to understand large and complex systems and architectures.
• Openness and willingness to experiment & learn: readiness to take on new challenges, explore new technologies, and continuously expand knowledge in the ad tech domain.
• Independence & proactive attitude: ability to take initiative, make decisions, and act without excessive supervision while maintaining a high standard.
• Goal-oriented mindset: focus on achieving specific project goals and adaptability in a dynamic environment.
• Collaboration & communication: ability to cooperate effectively with teammates and other teams, clearly sharing knowledge and cooperating with external organizations (e.g. major browser vendors, W3C, GitHub discussions).
• Ability to build Proof of Concepts (PoCs): creating prototypes and experimental solutions to evaluate effectiveness and utility.
  
  

Selected Technologies & Projects:

• Python, Java, Scala, TypeScript/JavaScript
• PyTorch, NumPy, Pandas
• Jupyter Notebooks
• BigQuery, GCP
• Browser Engines
• Assessing new privacy mechanisms (e.g. Privacy Sandbox APIs) by building PoCs, testing, and suggesting improvements (via GitHub issues or meetings). The goal is to evaluate their feasibility, ensure compliance, and enhance user privacy.
• Exploring solutions for Android and iOS, including creating prototypes to improve performance on mobile platforms. This requires close collaboration with other teams and leveraging ML opportunities.
• Many more — including your own ideas!

We Offer:

• Technology: access to the latest technologies and real opportunity to use of them in a large-scale and highly dynamic projects; extensive and rich datasets
• Impact: your contribution will directly influence the company's business results and outcomes globally, while also giving you the chance to mentor less experienced colleagues in the team
• Wellbeing: extremely flexible conditions – you act when it is convenient for you and devote as much time as you can; you can operate fully remotely
• Culture: be part of a team of enthusiasts with wide experience in ML who willingly share their knowledge and learnings on a daily basis, no BS environment
• Contract Types: B2B

Apply now! 

You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

Location: Poland (Remote/Flexible)

We Are: 

RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. 

We are looking for Senior Engineers to support our Bidding Platform organization which is the core of the RTB business, processing over 20 million requests per second to participate in real-time auctions and display advertisements to customers from 90+ countries. If you want to work on technically complex and demanding solutions, this is the opportunity for you!

Our Senior Engineers are experts who combine deep technical expertise with a strong sense of ownership, and they take on Tech Lead roles in complex, cross-team projects.

You will:

• Design and lead implementation of system changes that deliver high performance, scalability and observability for displaying and tracking ads world wide. Develop tools and optimizations to drive measurable improvements in critical user performance metrics.
• Implement, test, deploy, monitor and maintain (in all aspects, including setting up environment, writing configuration code, monitor production) HTTP / gRPC services and batch jobs in Java and Python, ensuring adherence to the high engineering standards.
• Provide hands-on technical leadership: solving complex system challenges, participating in planning and scoping of projects, and ensuring the implementation of the highest coding standards through participation in code reviews.

Requirements:

• Excellent understanding of how complex IT systems work - from the hardware level, through software, to algorithms.
• Very good knowledge of fundamental Internet protocols and technologies (DNS, HTTP, cookies and others).
• Good knowledge of basic methods of creating concurrent programs and distributed systems (from thread level to geo-distributed clusters level).
• Practical ability to observe, monitor and analyse the operation of production systems (and draw valuable conclusions from it).
• The ability to critically analyze the solutions created in terms of performance (from estimating the theoretical performance of the designed systems to detecting and removing actual performance problems in production).
• General knowledge of issues (typical problems and methods of solving them) in the areas of 'high scalability' and 'high availability'.
• C1 level in English and Polish.

Nice to have:

• Experience in the AdTech/Real Time Bidding space.
• Experience contributing to Real User Monitoring (RUM) systems.

Selected technologies used: 

• Java, Python
• Aerospike, Memcached
• Google Cloud Platform, BigQuery, MinIO
• Kafka, Clickhouse
• PostgreSQL
• Elasticsearch
• Kubernetes, Prometheus
• Jenkins, Graphite

We Offer:

• Projects focused on extreme performance and high code quality – clean code and solid code reviews are our standard.
• Collaboration within an interdisciplinary, self-sufficient team (including DevOps, database experts, backend developers, product designers, and QA engineers).
• Access to modern technologies and the opportunity to apply them in large-scale, high-impact projects.
• Cooperation based on B2B contract.
• You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow.

Apply now

You don't need to tick every box to apply. If you are passionate about software engineering, send us your CV, and we'll review it.

Location: Poland

We Are: 

RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. 

Our Platform Engineering team, within the Bidding Platform structure, is looking for engineers with a strong interest in system-related topics (deployment, monitoring, databases, load balancing), as well as experience in leading the specification and development of complex projects and coordinating the work of others.
If you want to work on technically challenging and sophisticated solutions, this is the opportunity for you!

You Will: 

• Plan and then hands-on lead further development within a given technical area like deployment, monitoring, databases or load balancing, in the context of existing infrastructure within RTB House;
• Coordinate the work of a project team of 3-4 people, also making arrangements with other teams and units within RTB House;
• Ensure the reliability and scalability of the solutions built.

Desired Experience: 

• Excellent understanding of how complex IT systems work - from the hardware level, through software, to algorithms;
• Ability to proactively define requirements, ask appropriate questions and draw conclusions that will combine technical constraints and business needs;
• Ability to lead the design and implementation of a solution;
• Experience in leading project teams;
• Willingness to be involved in topics that go beyond programming and design, such as responsibility for technical areas or communication with other teams;
• Proactive attitude, independence in taking action;
• Extensive experience in programming and readiness to implement key system elements as well as involvement in code reviews;
• Good knowledge of methods of creating concurrent programs and distributed systems;
• Ability to critically analyze created solutions in terms of performance (from estimating the theoretical performance of designed systems to detecting and removing actual performance problems in production);
• C1 level in English and Polish.

Selected technologies used:

• Java, Python
• Kubernetes, Prometheus
• Aerospike, Memcached
• Google Cloud Platform, BigQuery, MinIO
• Kafka, Clickhouse
• PostgreSQL
• Elasticsearch
• Jenkins, Graphite

We Offer:

• Projects focused on extreme performance and high code quality – clean code and solid code reviews are our standard.
• Collaboration within an interdisciplinary, self-sufficient team (including DevOps, database experts, backend developers, product designers, and QA engineers).
• Access to modern technologies and the opportunity to apply them in large-scale, high-impact projects.
• Cooperation based on B2B contract.
• You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow.

Apply now!

You don't need to tick every box to apply. If you are passionate about software engineering, send us your CV, and we'll review it.

Location: Poland

We Are: 

RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. 

The Bidding Platform Team is crucial in driving our company’s success. We work collaboratively to deliver system modules and components that support over 24 million queries per second, all while maintaining a low latency of 50 ms.

You Will: 

• Design and programming of a wide range of modules and components as part of a system that supports over 24M queries per second and low latency.
• Work on the optimization of the developed software in terms of response time and resource consumption
• Ensure the reliability and scalability of the solutions built
• Create performance and correctness tests for new system components
• Analyse new technologies in terms of their applicability in production conditions
• Develop tools for monitoring and analysing the operation of the production system
• Continuous optimization of existing tools and processes

Desired Experience: 

• Proficiency in programming
• Excellent understanding of how complex IT systems work (from the hardware level, through software, to algorithmics)
• Very good knowledge of fundamental Internet protocols and technologies (DNS, HTTP, cookies and others)
• Good knowledge of basic methods of creating concurrent programs and distributed systems (from thread level to continent level)
• Practical ability to observe, monitor and analyse the operation of production systems (and draw valuable conclusions from it)
• The ability to critically analyze the solutions created in terms of performance (from estimating the theoretical performance of the designed systems to detecting and removing actual performance problems in production)
• General knowledge of issues (typical problems and methods of solving them) in the areas of 'high scalability' and 'high availability'
• C1 level in English and Polish

Selected Technologies:

• Java, Python
• Aerospike, Memcached
• Google Cloud Platform, BigQuery, MinIO
• Kafka, Clickhouse
• PostgreSQL
• Elasticsearch
• Kubernetes, Prometheus
• Jenkins, Graphite

We Offer: 

• Projects focused on extreme performance and high code quality – clean code and solid code reviews are our standard.
• Collaboration within an interdisciplinary, self-sufficient team (including DevOps, database experts, backend developers, product designers, and QA engineers).
• Access to modern technologies and the opportunity to apply them in large-scale, high-impact projects.
• Cooperation based on B2B contract.
• You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow.

Apply now! 

You don't need to tick every box to apply. If you are passionate about software engineering, send us your CV, and we'll review it.

About Us: 

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

The Role:

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

Responsibilities:

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

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

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

Required Skills:

Education & Experience:

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

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

Nice to Haves:

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

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

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

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

Security responsibilities at Sauce

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

Location: Poland

We Are:

RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel.

We are looking for a Backend Python Developer to join our internal team at RTB House. You will work on applications and tools that directly support our real-time bidding business, collaborating with experienced engineers and product teams. This position is ideal for developers who want to grow their skills, solve real-world problems, and build reliable software that makes a visible difference.

You Will:

• Design, develop, and maintain internal web applications responsible for ad campaigns management, e.g. configuration, monitoring, automation
• Implement jobs and processes to integrate internal services
• Contribute to the development of internal Python libraries and shared frameworks
• Write and maintain unit/integration tests to ensure code quality and reliability
• Identify issues and propose improvements to enhance performance, scalability, and stability
• Collaborate with cross-functional teams to deliver new features and improve existing workflows
• Apply best practices in application design, databases, and APIs

Desired Experience:

• Solid experience in backend development with Python
• Familiarity with relational databases and ability to write efficient SQL queries (PostgreSQL, BigQuery is a plus)
• Understanding of RESTful and GraphQL APIs conventions and best practices
• Experience in asynchronous programming
• Good understanding of system design concepts (e.g. scalability, caching, reliability) and willingness to learn more
• Experience with writing and maintaining tests
• Problem-solving skills and the ability to work methodically through technical challenges
• Good communication skills and ability to work in a team
• Fluency in English

Selected Technologies:

• Backend: Python, FastAPI
• Databases: PostgreSQL, BigQuery
• GraphQL: Ariadne
• Messaging: Google Pub/Sub
• Data Handling & Validation: Pydantic, dataclasses
• Testing: Pytest
• Monitoring: Sentry, Prometheus, Grafana
• CI/CD: GitHub Actions
• Cloud: GCP, Kubernetes

We Offer:

• Being part of a small team with a high degree of autonomy and decision-making 
• Access to the latest technology in the developed solution
• Opportunity to build and improve our own products, where long-term quality and reliability truly matter
• Participation in one of the most interesting projects of the online industry in Poland and one of the fastest growing technology companies in Europe
• Collaboration with flexible contract options (B2B or contract of mandate)

Apply now! 

You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

As a Senior Growth Analyst at Readdle, you'll own the numbers behind how Spark grows and proactively discover opportunities and validate the impact of initiatives. From the first ad impression to long-term renewals, you'll make sense of the data, design event structures, and ensure everything is measurable. You'll dig into funnels, uncover insights, and build dashboards that make growth performance crystal clear for product and marketing teams.

What will you do:

• Transform and analyze large datasets in BigQuery and Amplitude to discover product & growth opportunities, trends, anomalies, and actionable insights across the user journey.
• Build and maintain self-serve reports that enable stakeholders to answer key questions with data and establish a clear source-of-truth for growth metrics.
• Define, document, and QA event structures for new features, campaigns, and experiments; build a robust monetization measurement system to support pricing and migration decisions.
• Analyze user funnels across ads, store, onboarding, in-app usage, purchases, and cancellations to identify drop-offs and growth opportunities.
• Design, sequence, and monitor A/B experiments and feature launches; validate results and ensure statistical rigor & consistent long-term impact tracking.
• Proactively surface insights, hypotheses, and growth opportunities to marketing and product teams; shape quarterly prioritization with discoveries from data and impact scenarios to influence roadmap decisions.
• Build forecasting and scenario models for installs, conversions, retention, and revenue.
• Ensure data integrity across tools and pipelines through established QA processes; work with measurement vendors to meaningfully track attribution and optimize acquisition reporting.

About you:

• 5+ years in growth, product, or marketing analytics in a B2C or SaaS environment, with experience working on user acquisition, pricing, monetization, and/or migration initiatives in subscription-based products.
• Strong SQL skills and experience with BigQuery or similar cloud data warehouses (Redshift, Snowflake); proficiency in Tableau/Looker/etc. for reporting and complex data visualization and product analytics tooling. Amplitude/Mixpanel/Heap/Hotjar/PostHog for event/property tracking and user journey tracking.
• Experience with marketing attribution platforms (Appsflyer/Adjust/Kochava/etc.); familiarity with Python/R for data analysis and automation. Experience with ML or time-series inference is a strong plus.
• Solid understanding of product analytics (funnels, cohorts, retention, event tracking), marketing analytics (incl. attribution, MMM, incrementality testing, etc.), statistics, experimentation, and experience with segmentation and modeling churn or LTV. Demonstrable advanced analytics experience (causal inference, quasi-experiments, linear programming, econometrics, etc.) is highly advantageous for the role.
• Proven ability to design self-serve dashboards and act as a strategic thought partner to PM/PMM teams, not just an executor of analytics requests.
• Solid business acumen. Comfortable working cross-functionally with product, marketing, and engineering teams with a proactive, curious, and coachable mindset.