Jobs Data Engineer

About the Project: Migration of SharePoint 2016 solutions to Office 365 and Power Platform, automation of internal banking processes, and development of solutions aimed at improving employee productivity within the Bank.

Your future responsibilities:

• Develop, implement, and administer solutions and business processes on the Microsoft Power Platform and Microsoft 365 (Office 365)
• Work with Office 365 and Power Platform SaaS services, including Power Apps, Power Automate, Power BI, Dataverse, Microsoft Teams, SharePoint Online, Azure SQL, and Python
• Solve integration challenges using REST APIs
• Migrate SharePoint 2016 solutions to Office 365 and Power Platform
• Automate internal banking processes
• Develop solutions to enhance the productivity of Bank employees

Your skills and experience:

• Hands-on experience with Office 365, Power Platform, and SharePoint cloud technologies
• Knowledge and understanding of Microsoft Azure cloud services, ETL processes, and SQL databases
• Familiarity with AWS services and practical programming experience in Python, C#, PowerShell, and JavaScript, as well as web technologies, will be considered an advantage
• Basic knowledge of networking technologies and security systems
• Ability to work effectively both independently and as part of a team
• Responsibility, integrity, strong execution discipline, and excellent self-organization skills

We offer what matters most to you:

• Competitive salary: we guarantee a stable income and annual bonuses for your personal contribution. Additionally, we have a referral reward program for attracting new colleagues to Raiffeisen Bank
• Social package: official employment, 28 days of paid leave, additional “maternity leave” for fathers, and financial assistance for parents upon the birth of children
• Comfortable working conditions: the possibility of a hybrid work format, offices equipped with shelters and generators, provision with modern equipment
• Wellbeing program: all employees have access to medical insurance from the first working day; consultations with a psychologist, nutritionist or lawyer; discount program for sports and shopping; family days for children and adults; massage in the office
• Learning and development: access to over 130 online educational resources; corporate training programs, online library, mentoring program
• A great team: our colleagues are a community where curiosity, talent and innovation are welcomed. We support each other, learn together and grow. You can find like-minded people in over 15 professional communities, reading or sports clubs
• Career opportunities: we encourage advancement within the bank between functions
• Innovation and technology. Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go (infra, security), Swift (IOS), Kotlin (Andorid)Datastores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink, we develop expertise in AI and actively integrate it into processes
• Support program for defenders: we preserve jobs and pay the average salary to mobilized people. We have a support program for veterans, and the Bank’s veteran community is developing. We are working to raise awareness among managers and teams on the issues of veterans’ return to civilian life. Raiffeisen Bank is recognized as one of the best employers for veterans (Forbes)

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Про проєкт: Міграція рішень SharePoint 2016 на Office 365 and Power Platform, автоматизація внутрішньобанківських процесів, розробка рішень по підвищенню продуктивності співробітників Банку.

Твої майбутні обов’язки: 

• Розробка, впровадження та адміністрування рішень та процесів на платформі Microsoft Power Platform та Microsoft 365 (Office 365), з використанням SaaS сервісів Office 365/Power Platform (Power Apps, Power Automate, Power BI, Dataverse, MS Teams, SharePoint Online, Azure SQL), додатково Python
• Вирішення інтеграційних задач з використанням REST API
• Міграція рішень SharePoint 2016 на Office 365 + Power Platform
• Автоматизація внутрішньобанківських процесів
• Розробка рішень по підвищенню продуктивності співробітників Банку

Твій досвід та навички:

• Досвід роботи з хмарними технологіями Office 365, Power Platform, SharePoint
• Знання та розуміння хмарних технології та сервісів Microsoft Azure, ETL процесів та SQL баз даних
• Додатковою перевагою буде знайомство з сервісами AWS, практичне володіння мовами програмування (Python, C#, PowerShell, JS), веб-технологіями
• Базові знання мережевих технологій та систем захисту
• Досвід роботи як в команді так і самостійно над поставленими задачами
• Відповідальність, порядність, виконавча дисципліна, самоорганізація

Пропонуємо те, що має значення саме для тебе: 

• Конкурентна заробітна плата: гарантуємо стабільний дохід та річні бонуси за твій особистий внесок. Додатково, у нас діє реферальна програма винагороди за залучення нових колег до Райффайзен Банку
• Соціальний пакет: офіційне працевлаштування, 28 днів оплачуваної відпустки, додатковий “декрет” для татусів, та матеріальна допомога для батьків при народженні дітей
• Комфортні умови праці: можливість гібридного формату роботи, офіси забезпеченні укриттями та генераторами, забезпечення сучасною технікою
• Wellbeing програма: для всіх співробітників доступні медичне страхування з першого робочого дня; консультації психолога, нутриціолога чи юриста; дисконт програми на спорт та покупки; family days для дітей та дорослих; масаж в офісі
• Навчання та розвиток: доступ до понад 130 навчальних онлайн-ресурсів; корпоративні навчальні програми, онлайн бібліотека, програма менторства
• Крута команда: наші колеги — це спільнота, де вітаються допитливість, талант та інновації. Ми підтримуємо один одного, вчимося разом та зростаємо. Ти можеш знайти однодумців у понад 15-ти професійних ком’юніті, читацькому чи спортивному клубах
• Кар’єрні можливості: ми заохочуємо просування всередині банку між функціями
• Інновації та технології. Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go(infra,security), Swift (IOS), Kotlin (Andorid) Datastores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink, розвиваємо експертизу в AI та активно інтегруємо в процеси
• Програма підтримки захисників і захисниць: ми зберігаємо робочі місця та виплачуємо середню заробітну плату мобілізованим. Для ветеранів та ветеранок у нас діє програма підтримки, розвивається ветеранська спільнота Банку. Ми працюємо над підвищенням обізнаності керівників та команд з питань повернення ветеранів до цивільного життя. Райффайзен Банк відзначений як один з найкращих роботодавців для ветеранів (Forbes)

Project Description

We help marketers connect the digital and physical world. We provide data-driven solutions to enhance marketing campaigns by leveraging location and audience data to reveal consumer behavior and enable more precise targeting and measurement. We work on high-end / high-performance / high-throughput systems for in-time analysis of data for autonomous driving and other big data applications e.g. for E-commerce.

Job Responsibilities

Work in a self-organised agile team with a high level of autonomy, and you will actively shape your team's culture.

Design, build, and standardise privacy-first big data architectures, large-scale data pipelines, and advanced analytics solutions in AWS.

Develop complex integrations with third-party partners, transferring terabytes of data.

Align with other Data experts on data (analytics) engineering best practices and standards, and introduce those standards and data engineering expertise to the team in order to enhance existing data pipelines and build new ones.

Successfully partner up with the Product team to constantly develop further and improve our platform features.

Requirements:

• 4+ years in a Data Engineering or similar high-scale role.
• Expert-level Python skills. Familiarity with Java or Scala is a major plus.
• Proven hands-on experience building scalable solutions directly within AWS.
• Deep proficiency in high-throughput architectures using Kafka, Spark, Hadoop, MongoDB, AWS Batch, AWS Glue, Athena, Airflow, and dbt.
• Exceptional SQL and data transformation skills, with an eye for optimizing NoSQL and SQL databases.
• Ability to simplify complex technical concepts and a passion for mentoring junior engineers in a collaborative environment.

About the Role

We're looking for a sharp, analytically mindedcontractor to support our accounting team with workpaper modernization and dataquery work. This is a hands-on, execution-focused engagement suited for someonewho moves fast, works independently, and takes ownership.

Technical Requirements

 *   Advanced Excel proficiency — pivot tables, dynamic arrays, Power Query, and building structured reporting tools for high-volume datasets
 *   Advanced SQL skills — complex queries, stored procedures, window/analytical functions, and query optimization
 *   Hands-on experience with dbt, Google BigQuery, and Airflow
 *   4–6 years of hands-on experience analyzing and engineering large datasets in a business or finance context
 *   Demonstrated ability to pick up unfamiliar tools and systems quickly

Soft Skills & Work Style

 *   Highly organized with the ability to juggle multiple deliverables
 *   Strong attention to detail without losing sight of the bigger picture
 *   Self-starter who operates well with minimal oversight
 *   Collaborative — comfortable interfacing with accounting and operations teammates
 *   Professional proficiency in English (written and verbal)

About the Client

Our client is an AI-driven product company focused on building intelligent agents that automate and enhance customer interactions across multiple channels.

As the platform continues to grow, they are looking for a Senior Data Engineer / Platform Engineer to help scale and improve the company's data infrastructure, pipelines, and tooling.

About the Role

You will play a key role in designing, building, and maintaining a reliable and scalable data ecosystem that powers analytics, product insights, and operational workflows.

This position is ideal for someone who enjoys working across data platforms, integrations, infrastructure, and analytics enablement while ensuring high standards of data quality and reliability.

What You'll Do

• Design, build, and maintain scalable ETL/ELT pipelines and workflows
• Improve data quality, reliability, monitoring, and observability across the data platform
• Build and maintain integrations between internal and external systems
• Collaborate closely with engineering, product, implementation, and business teams
• Ensure data consistency, accessibility, and trustworthiness across analytics and operational use cases
• Optimize data models, transformations, and storage strategies
• Support the evolution of the company's modern data platform and tooling ecosystem
• Troubleshoot and resolve data pipeline and platform issues

Requirements

• 5+ years of experience in Data Engineering or Platform Engineering
• Proven experience building and maintaining production-grade data systems
• Strong experience with cloud data platforms, preferably Google Cloud Platform (GCP)
• Advanced SQL skills
• Experience designing, implementing, and supporting ETL/ELT pipelines
• Experience with data orchestration and workflow management tools
• Strong knowledge of Microsoft SQL Server
• Hands-on experience with ClickHouse
• Experience working with Fivetran
• Strong understanding of data architecture, performance, and scalability
• Excellent verbal and written English communication skills
• Ability to work independently in a fast-paced environment

Nice to Have

• Experience with modern analytics stacks and data warehousing solutions
• Experience with data observability and monitoring tools
• Familiarity with AI/ML data pipelines
• Experience supporting product analytics and operational reporting
• Startup or high-growth product company experience

What We're Looking For

• Strong ownership mindset
• Passion for building reliable and scalable data systems
• Attention to detail and commitment to data quality
• Ability to collaborate effectively across technical and non-technical teams
• Comfortable working in a dynamic, rapidly evolving environment

We are looking for a Senior Data Engineer. This is not a standard ETL role. You will work on a high-load system processing 10,000+ executions per minute, building scalable pipelines where AI and LLM logic are embedded directly into production data flows.

The role combines data engineering, backend thinking, infrastructure ownership, and real production AI integration.

What you will do:

• Design and maintain scalable data pipelines in Python on Google Cloud Platform
• Build and optimize AI-driven scoring flows using LLMs for real-time identity enrichment
• Work with BigQuery, Apache Spark, and Apache Iceberg for heavy data processing
• Maintain high-load orchestration with custom Python nodes and complex workflows
• Own deployment and release processes (CI/CD)
• Optimize PostgreSQL performance under heavy load
• Investigate incidents and resolve root causes permanently

• Use AI engineering tools such as Claude in daily development

   

Requirements:

• 4+ years of experience in Data Engineering / Backend Engineering
• Strong Python skills
• Commercial experience with production LLM integration (OpenAI / Anthropic / Gemini)
• Strong knowledge of GCP (Cloud Functions, IAM, Networking)
• Experience with BigQuery, Spark, Iceberg
• Good understanding of Kubernetes
• Experience with workflow orchestration tools (n8n is a strong plus)
• Strong practical knowledge of PostgreSQL

• English level B2+

   

What is important for us:

• Ownership mindset
• Fast learning ability
• Strong problem-solving approach
• Active AI usage in engineering work
• Focus on practical results over unnecessary complexity

Genesis is a full-service international IT company. More than 1,500 people in five countries create products for more than 200 million unique monthly users. We are one of the largest partners of Facebook, Google, Snapchat, and Apple in Eastern Europe. Our ecosystem consists of more than 15 companies and an investment fund.

EverHelp is a company in the Genesis ecosystem. We’re a team of professionals, that’s developing outsourcing support services for plenty of products all over the world at a dynamic tempo. The project launched in 2021, and last year we experienced a yearly growth rate of +82%. Since February 2022, we've managed to preserve all our workplaces and, most importantly, we continue to strengthen our team while maintaining an employee satisfaction rate of over 90%.

In 2026, EverHelp received 9 international workplace and employer awards. The company ranked #1 in the Top 30 Inspiring Workplaces in Europe, was named the #1 employer among European companies with 500–4,999 employees, and earned Best-in-Class recognition across 6 categories: Culture & Purpose, Leadership, Inclusion & Belonging, Wellbeing, Employee Voice, and Employee Experience. EverHelp was also named one of the 28 Best Places to Work by Business Intelligence Group — a global award recognizing companies with strong workplace cultures and outstanding employee experience.

Our statement:

• We’re against war and unjustified aggression,
• We evacuated all the teammates and their families from the frontline, helped them find a new place to live and provided financial support,
• We provided the team with charging stations,
• We continue to work together for the future of Ukraine.

Your future responsibilities include:

• Building, optimizing, and maintaining ETL pipelines that extract data from ERP
  systems, databases, and APIs, transform it into a usable format, and load it into
  BigQuery
• Automating data ingestion, transformation, and loading processes to reduce manual
  intervention and ensure efficiency
• Monitoring and troubleshooting data pipelines proactively — catching performance issues
  issues, errors, and data quality problems before they escalate
• Managing and optimizing data storage: partitioning, indexing, and performance tuning
  in BigQuery
• Designing data models that represent the structure and relationships within a business
  data
• Implementing data quality checks and validation rules at every stage of the pipeline
• Identifying and resolving data inconsistencies, errors, and missing values
• Conducting data audits and comparing results with business user needs — proposing
  solutions to close existing gaps
• Collaborating with analysts, data scientists, and business stakeholders to understand
  their data needs and translate them into scalable solutions

Why this role might be interesting for you:

If you love structure and enjoy optimizing processes, this is your playground. You'll make real-world architectural decisions, not just execute tickets. Every pipeline you build or improve directly powers business decisions at the highest level, so the impact of your work is visible and immediate. And if you want to be the person who shapes a data-driven culture from the inside — that's exactly the role we're offering.

Needed experience & skills:

• 2-4+ years of hands-on experience as a Data Engineer
• Advanced knowledge of SQL and Python
• Hands-on experience with GCP, in particular BigQuery
• Strong ETL and data warehousing skills: Apache Airflow, dbt
• Clear understanding of both the technical and business sides of data products
• Clear and concise communication; comfortable working cross-functionally with nontechnical stakeholders
• Proactive problem-solving mindset — analytical thinking and attention to detail
• English level — B2+

Nice to have skills:

• Experience at a large systematic company (retail, banking, telecom, FMCG, logistics)
• Comfort working autonomously as the only Data Engineer on a team
• Adaptability in a high-paced, fast-changing environment

Hiring Process:

CV Screening → Questionnaire → Intro Call → Tech & Soft Interview → Bar Raising

Work with EverHelp is about:

• Opportunity to join the Ukrainian company and help the Ukrainian economy,
• 20+ vacation days and unlimited sick leaves, corporate doctor & psychologist,
• Medical insurance and +10 Healthcare leaves for mental & physical recovery,
• Systematical learning & development inside a team and on an individual level: compensation for professional webinars, courses, conferences, etc.,
• Ability to work from Lviv & Kyiv offices with free breakfasts and lunches or fully remotely,
• Team of professionals who’s ready for knowledge sharing, internal professional communities, team buildings,
• Corporate discounts for gym membership and for other different services like medical services, language schools, etc.

Submit your resume and join our team!

Workload: full-time
Start: asap
Location: any
English: B2-C1
Budget: depending on experience, but affordable rates are more preferable to the client.

Job description
We are looking for an experienced Senior Data Engineer / Platform Engineer to help build and maintain reliable, scalable data infrastructure, pipelines, and tooling across analytics and product data stack. This is a full-time, 2-month engagement with strong potential for long-term extension (full-time or part-time)
You will play a key role in designing and improving the company's data ecosystem, ensuring that business and product teams have access to accurate, trustworthy, and actionable data.

About the Client
AI-driven product company focused on building intelligent agents that automate and enhance customer interactions across multiple channels.

What You'll Do

• Design, build, and maintain scalable ETL/ELT workflows.
• Improve data quality, reliability, and observability practices.
• Manage and enhance integrations between various systems and platforms.
• Collaborate closely with engineering, product, and implementation teams.
• Ensure data accessibility and consistency for analytics and operational use cases.

Requirements

• Minimum 5 years of experience in Data Engineering or Platform Engineering.
• Strong experience building and maintaining production-grade data systems.
• Hands-on experience with cloud data platforms, preferably Google Cloud Platform (GCP).
• Advanced SQL skills.
• Experience designing and supporting ETL/ELT pipelines.
• Experience with data orchestration and workflow management tools.
• Strong knowledge of MS SQL Server.
• Experience working with ClickHouse.
• Hands-on experience with Fivetran.
• Excellent verbal and written English communication skills.
• Ability to operate independently and thrive in a fast-paced environment.

Recruitment Process

• Pre-screen with the Recruitment Manager.
• Interview with Product Owner – discussion around experience, technical background, and project fit.
• "Vibe Coding" Session with Product Owner!!!

We are looking for a Senior Data Engineer to design and build scalable data platforms that process large volumes of data for analytics, reporting, and business-critical applications.

You will work with distributed data processing systems, cloud infrastructure, streaming platforms, and modern data pipelines. We are looking for an engineer who can independently own production solutions and solve complex performance and architecture challenges.

Mandatory Skills

Programming & Data Processing

• Strong Python development skills
• Advanced SQL (complex queries, optimization, execution plans)
• Strong commercial experience with Apache Spark / PySpark
• Experience optimizing Spark jobs (partitioning, shuffle, joins, skew handling)

Data Engineering

• Experience building production-grade ETL / ELT pipelines
• Strong experience with Apache Airflow
• Strong hands-on experience with Apache Kafka
• Understanding of batch and streaming data processing architectures

Infrastructure & Storage

• Experience with relational databases (PostgreSQL, MySQL or similar)
• Data modeling and query optimization
• Hands-on experience with at least one cloud platform (AWS, Azure or GCP)
• Experience working with Docker, Linux, Git, and basic CI/CD pipelines

Desired Skills

• Databricks, Snowflake or similar cloud data platforms
• Kubernetes
• CDC pipelines (Debezium or similar)
• Modern analytical/storage systems (ClickHouse, Trino, Iceberg, Delta Lake)
• Monitoring tools (Grafana, Prometheus)

Responsibilities

• Build scalable batch and streaming data pipelines
• Develop and optimize Spark/PySpark data processing jobs
• Build Kafka-based ingestion and event-driven pipelines
• Design and maintain Airflow orchestration workflows
• Optimize SQL queries and improve pipeline performance
• Investigate production issues and improve system reliability
• Participate in architecture and technical design discussions

Senior-Level Expectations

• Independently design scalable data pipelines
• Debug and optimize distributed production systems
• Solve performance bottlenecks in Spark and SQL workloads
• Make technical decisions with minimal supervision
• Take ownership of production solutions end-to-end

Soft Skills

• Strong problem-solving skills
• Ownership and accountability
• Ability to work independently
• Good communication and collaboration skills
• Proactive engineering mindset

Genesis is a full-service international IT company. More than 1,500 people in five countries create products for more than 200 million unique monthly users. We are one of the largest partners of Facebook, Google, Snapchat, and Apple in Eastern Europe. Our ecosystem consists of more than 15 companies and an investment fund.
 

EverHelp is a company in the Genesis ecosystem. We’re a team of professionals, that’s developing outsourcing support services for plenty of products all over the world at a dynamic tempo. The project launched in 2021, and last year we experienced a yearly growth rate of +82%. Since February 2022, we've managed to preserve all our workplaces and, most importantly, we continue to strengthen our team while maintaining an employee satisfaction rate of over 90%.
 

In 2026, EverHelp received 9 international workplace and employer awards. The company ranked #1 in the Top 30 Inspiring Workplaces in Europe, was named the #1 employer among European companies with 500–4,999 employees, and earned Best-in-Class recognition across 6 categories: Culture & Purpose, Leadership, Inclusion & Belonging, Wellbeing, Employee Voice, and Employee Experience. EverHelp was also named one of the 28 Best Places to Work by Business Intelligence Group — a global award recognizing companies with strong workplace cultures and outstanding employee experience.
 

Our statement:

• We’re against war and unjustified aggression,
• We evacuated all the teammates and their families from the frontline, helped them find a new place to live and provided financial support,
• We provided the team with charging stations,
• We continue to work together for the future of Ukraine.
   

EverHelp is scaling fast, and our data infrastructure needs a dedicated owner to keep it reliable and growing.
 

Your future responsibilities include:

• Building, optimizing, and maintaining ETL pipelines that extract data from ERP
  systems, databases, and APIs, transform it into a usable format, and load it into
  BigQuery
• Automating data ingestion, transformation, and loading processes to reduce manual
  intervention and ensure efficiency
• Monitoring and troubleshooting data pipelines proactively — catching performance
  issues, errors, and data quality problems before they escalate
• Managing and optimizing data storage: partitioning, indexing, and performance tuning
  in BigQuery
• Designing data models that represent the structure and relationships within business
  data
• Implementing data quality checks and validation rules at every stage of the pipeline
• Identifying and resolving data inconsistencies, errors, and missing values
• Conducting data audits and comparing results with business user needs — proposing
  solutions to close existing gaps
• Collaborating with analysts, data scientists, and business stakeholders to understand
  their data needs and translate them into scalable solutions
   

Why this role might be interesting for you:

If you love structure and enjoy optimizing processes — this is your playground. You'll make real-world architectural decisions, not just execute tickets. Every pipeline you build or improve directly powers business decisions at the highest level, so the impact of your work is visible and immediate. And if you want to be the person who shapes a data-driven culture from the inside — that's exactly the role we're offering.
 

Needed experience & skills:

• 2-4 years of hands-on experience as a Data Engineer
• Advanced knowledge of SQL and Python
• Hands-on experience with GCP, in particular BigQuery
• Strong ETL and data warehousing skills: Apache Airflow, dbt
• Clear understanding of both the technical and business sides of data products
• Clear and concise communication; comfortable working cross-functionally with nontechnical stakeholders
• Proactive problem-solving mindset — analytical thinking and attention to detail
• English level — B2+
   

Nice to have skills:

• Experience at a large systematic company (retail, banking, telecom, FMCG, logistics)
• Comfort working autonomously as the only Data Engineer on a team
• Adaptability in a high-paced, fast-changing environment
   

Hiring Process:

CV Screening → Questionnaire → Intro Call → Tech & Soft Interview → Bar Raising
 

Work with EverHelp is about:

• Opportunity to join the Ukrainian company and help the Ukrainian economy,
• 20+ vacation days and unlimited sick leaves, corporate doctor & psychologist,
• Medical insurance and +10 Healthcare leaves for mental & physical recovery,
• Systematical learning & development inside a team and on an individual level: compensation for professional webinars, courses, conferences, etc.,
• Ability to work from Lviv & Kyiv offices with free breakfasts and lunches or fully remotely,
• Team of professionals who’s ready for knowledge sharing, internal professional communities, team buildings,
• Corporate discounts for gym membership and for other different services like medical services, language schools, etc.
   

Submit your resume and join our team!

🌍 Adaptiq, on behalf of AppsFlyer, is looking for a Data Engineer

🧩 About AppsFlyer:

AppsFlyer provides a SaaS marketing analytics platform that measures and optimizes marketing activities across mobile, web, CTV, PC, and console applications. AppsFlyer is known for its massive backend production. At any given moment, thousands of servers are consuming 150+ billion mobile app events, crunching our users’ data, serving requests, and communicating on a massive scale.

To maintain the universe we call AppsFlyer, we practice modern production operations with a complete self-serve CI/CD platform, a highly integrated observability stack for our micro-services, backends, and infrastructure, a culture of ownership and eagerness for quality.

The Analytics group is responsible for showing our clients the stories their data is telling. Through complex aggregation, mission-tailored analytical databases, and carefully crafted APIs we are able to provide slice-and-dice analysis in our beautiful dashboards and through the use of external integrations.

🌟 About the Role:

As a Data Engineer within the Analytics group at AppsFlyer, you will own the end-to-end journey of event data - from ingestion and processing to storage, modeling, and API delivery. 

You will design and implement data pipelines using Apache Airflow and Spark, choose and optimize analytical databases, and integrate new components in our hybrid microservices environment. You will collaborate with product managers and cross-functional teams, troubleshoot production incidents, and influence our migration toward Google Cloud and BigQuery. This role offers autonomy over feature design, real impact on a platform handling billions of events daily, and the chance to contribute to open-source projects or speak at industry forums.

📈 Key Responsibilities:

• Develop and maintain data processing pipelines using Apache Airflow, Scala Spark or PySpark.
• Select, model and optimize analytical databases for high-throughput, low-latency queries.
• Design and implement backend services and APIs for data ingestion, aggregation and client consumption.
• Monitor system performance and stability; diagnose and resolve production issues.
• Collaborate with product managers and engineers to plan and deliver complex features.
• Drive migration efforts to Google Cloud Platform, BigQuery and modern data tooling.
• Participate in on-call rotations, alerting via PagerDuty and incident response procedures.
• Document system architecture and data flows; maintain code quality and tests.

💻 Required Competence and Skills:

• 3+ years of software development experience with a focus on data engineering.
• Practical experience with Apache Spark (Scala or PySpark) and Apache Airflow.
• Experience building and maintaining high-throughput, low-latency distributed data systems.
• Strong SQL skills and experience with data modeling for analytics workloads.
• Familiarity with JVM languages (Scala, Java, Clojure) or Python for backend development.
• Experience with cloud platforms - preferably GCP - and data warehouses such as BigQuery.
• Proven ownership of production systems and on-call incident management.
• Excellent communication skills in English for distributed teamwork.
• B.Sc. in Computer Science or equivalent practical experience.

➕ Nice to Have:

• Production experience with large-scale databases and ETL tooling.
• Hands-on background in Go or Clojure backend services.
• Experience with production-grade BigQuery ETL and data pipelines.
• Contribution to open-source projects or public speaking at meetups/conferences.
• An “AI mindset” - familiarity with tools like GitHub Copilot and emerging AI workflows.

🚀 Benefits Package includes:

• Health Insurance
• Paid Unlimited Vacation Days + all national holidays + additional recharge days
• Meals Reimbursement
• Sport Reimbursement
• Breakfast in the office
• Mental health program
• Team building, happy hours, and other team activities
• Paid sick days
• Snacks, fruits & ice-cold beer
• All new team members are provided with a brand-new Mac laptop with 2 monitors and a Starter package

Senior Data Engineer / Platform Engineer

Location: Remote
Engagement: Full-time, 2-month contract with strong potential for long-term extension (full-time or part-time)

About the Company

Our client is an innovative AI-driven product company building intelligent agents that automate and enhance customer interactions across multiple channels. As the company continues to scale, they are looking for an experienced Senior Data Engineer / Platform Engineer to strengthen and evolve their data infrastructure.

About the Role

We are seeking a highly skilled Senior Data Engineer / Platform Engineer to design, build, and maintain reliable, scalable data infrastructure and pipelines across the analytics and product data ecosystem.

In this role, you will play a key part in ensuring that business and product teams have access to accurate, trustworthy, and actionable data while improving the overall reliability, observability, and scalability of the company's data platform.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines and workflows.
• Develop and optimize data infrastructure supporting analytics and product use cases.
• Improve data quality, reliability, monitoring, and observability practices.
• Manage and enhance integrations between internal and external systems.
• Collaborate closely with Engineering, Product, and Implementation teams.
• Ensure data consistency, accessibility, and governance across the organization.
• Support and optimize production-grade data systems and processes.
• Contribute to the ongoing evolution of the company's data platform architecture.

Requirements

• 5+ years of experience in Data Engineering, Platform Engineering, or a related field.
• Proven experience building and maintaining production-grade data systems.
• Strong hands-on experience with cloud data platforms, preferably Google Cloud Platform (GCP).
• Advanced SQL expertise.
• Extensive experience designing, developing, and supporting ETL/ELT pipelines.
• Experience with data orchestration and workflow management tools.
• Strong knowledge of Microsoft SQL Server.
• Hands-on experience with ClickHouse.
• Experience working with Fivetran.
• Strong understanding of data quality, monitoring, and observability best practices.
• Excellent verbal and written English communication skills.
• Ability to work independently in a fast-paced, dynamic environment.

Nice to Have

• Experience supporting modern analytics platforms and data ecosystems.
• Background working within SaaS or AI-driven product companies.
• Familiarity with large-scale data processing and optimization.

What We Offer

• Opportunity to work with a cutting-edge AI product company.
• High-impact role with ownership over critical data infrastructure.
• Fully remote work environment.
• Fast-moving and collaborative engineering culture.
• Strong potential for long-term engagement beyond the initial contract period.

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

Our client is a global technology company that builds products powering millions of websites worldwide. The platform is used by developers, designers, marketers, agencies, and enterprises to build, manage, and scale their web presence.

Operating in more than 160 countries, the company powers over 21 million websites and launches a new website every 10 seconds. Engineers joining the team will have the opportunity to work on infrastructure that supports millions of users and one of the largest-scale B2C environments in the industry.

The company follows an AI-first, data-driven, and human-led approach, combining innovation, scalability, and collaboration while building products used worldwide.

About the Role:

We're looking for a Senior DevOps Engineer in Poland/Warsaw to join the Cloud R&D team and help design, implement, and maintain highly scalable cloud infrastructure that powers millions of websites globally.

You will be responsible for improving infrastructure security, scalability, reliability, and automation while supporting the entire R&D organization through CI/CD, IaC, monitoring, and cloud operations.

You will work closely with development teams, optimize Kubernetes environments, participate in architecture decisions, and contribute to building large-scale systems that operate 24/7.

This role offers significant ownership, exposure to large-scale B2C infrastructure challenges, and the opportunity to become one of the first international DevOps engineers helping establish a future engineering presence in Poland.

Key Responsibilities:

• Continuously improve infrastructure to make it more secure, scalable, and robust.
• Design, build, and maintain CI/CD pipelines and Infrastructure as Code solutions.
• Support R&D cloud operations by developing automation tools and processes.
• Participate in architecture planning for cloud-based solutions.
• Optimize workloads and Kubernetes clusters.
• Build and maintain monitoring and observability solutions.
• Evaluate and implement new technologies for internal and external services.
• Collaborate closely with developers, engineering teams, and stakeholders across the organization.
• Participate in an on-call rotation (approximately one week every 1.5–2 months).

Required Competence and Skills:

• 5+ years of professional DevOps experience.
• 3+ years of hands-on Kubernetes experience.
• Hands-on experience with GCP or AWS
• Experience operating production environments.
• Experience with CI/CD tools such as GitHub Actions, Jenkins, or GitLab.
• Experience working with MySQL, MongoDB, and Redis.
• Strong communication and collaboration skills.
• Strong English communication skills.

Nice to Have:

• Experience with Terraform.
• Experience developing Kubernetes Operators.
• Experience operating highly available 24/7 production systems.
• Experience working in large-scale B2C environments.

Why Us:

We provide 20 days of vacation leave per calendar year (plus official national holidays of the country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a remote-first work model, with a potential future hybrid setup in Warsaw (up to 2 office days per week if a local office is established).

We offer a highly competitive compensation package with yearly performance and compensation reviews.

You will have the opportunity to work on infrastructure powering millions of websites and millions of users worldwide, solve large-scale engineering challenges, and collaborate with an international team in a product-driven environment.

Workload: full-time
Start: asap
Location: any
English: B2-C1
Budget: depending on experience, but affordable rates are more preferable to the client.

Job description
We are looking for an experienced Senior Data Engineer / Platform Engineer to help build and maintain reliable, scalable data infrastructure, pipelines, and tooling across analytics and product data stack. This is a full-time, 2-month engagement with strong potential for long-term extension (full-time or part-time)
You will play a key role in designing and improving the company's data ecosystem, ensuring that business and product teams have access to accurate, trustworthy, and actionable data.

About the Client
AI-driven product company focused on building intelligent agents that automate and enhance customer interactions across multiple channels.

What You'll Do

• Design, build, and maintain scalable ETL/ELT workflows.
• Improve data quality, reliability, and observability practices.
• Manage and enhance integrations between various systems and platforms.
• Collaborate closely with engineering, product, and implementation teams.
• Ensure data accessibility and consistency for analytics and operational use cases.

Requirements

• Minimum 5 years of experience in Data Engineering or Platform Engineering.
• Strong experience building and maintaining production-grade data systems.
• Hands-on experience with cloud data platforms, preferably Google Cloud Platform (GCP).
• Advanced SQL skills.
• Experience designing and supporting ETL/ELT pipelines.
• Experience with data orchestration and workflow management tools.
• Strong knowledge of MS SQL Server.
• Experience working with ClickHouse.
• Hands-on experience with Fivetran.
• Excellent verbal and written English communication skills.
• Ability to operate independently and thrive in a fast-paced environment.

Recruitment Process

• Pre-screen with the Recruitment Manager.
• Interview with Product Owner – discussion around experience, technical background, and project fit.
• "Vibe Coding" Session with Product Owner!!!

We are looking for an experienced Data Engineer to leverage their skillset in a fast-paced financial trading environment. You will be responsible for designing, developing, and maintaining data pipelines and infrastructure across GCP , and Oracle-based systems, ensuring high-performance data flows that support trading, risk, and compliance functions. This role requires a deep understanding of cloud architecture, large-scale data processing, and a strong grasp of agile delivery practices.
 

About the client
 

An international consulting firm that helps companies of all sizes have a better impact on the world. Company capabilities focus on supporting the private and public sectors with their people, processes, and digital technology challenges.
 

What You Will Do
 

● Design, build, and maintain scalable data pipelines primarily within Google Cloud Platform
 

● Develop integration and transformation workflows between cloud data services and on-prem Oracle databases
 

● Work closely with trading, risk, and analytics teams to understand data requirements and deliver real-time and batch data solutions
 

● Optimise and monitor performance of data systems to support latency-sensitive trading applications
 

● Collaborate with cross-functional teams using Agile/Scrum methodologies to deliver business-critical data projects
 

● Ensure robust data governance, lineage, and compliance (including MiFID II, FCA, and other regulatory standards)
 

● Automate data workflows using Terraform, CI/CD pipelines, and containerisation tools (Docker/Kubernetes)
 

What you will bring
 

● Strong experience with Google Cloud Platform (GCP) e.g. BigQuery, DataPlex, DBT, Pub/Sub, Dataflow, S3, Glue, Redshift
 

● Expertise in Oracle SQL, PL/SQL, and working with complex stored procedures and large datasets
 

● Proficiency in programming languages such as Python, Java, or Scala
 

● Experience with streaming and messaging systems (e.g. Jenkins, GitLab), and container orchestration (Kubernetes)
 

● Experience working with Infrastructure as Code, preferably Terraform, to manage cloud data infrastructure.
 

● Deep understanding of data modelling, data warehousing, and ETL/ELT design patterns
 

● Familiarity with Agile development practices (Scrum, Kanban, Jira)
 

● Exposure to financial markets, trading systems, or related high-performance environments is a strong plus
 

Nice to have
 

● GCP certification (e.g., Professional Data Engineer or similar) will be considered a strong advantage.
 

● Experience with Amazon Web Services (AWS)
 

● Knowledge of regulatory reporting, market data, or trade surveillance systems
 

● Experience with Apache Airflow, DBT, or similar orchestration tools
 

● Understanding of data security practices and compliance frameworks

The CHI Software team is not standing still. We love our job and give it one hundred percent of us! Every new project is a challenge that we face successfully. The only thing that can stop us is… Wait, it’s nothing! The number of projects is growing, and with them, our team too. And now we need a Middle/Senior Data Engineer.
 

Requirements:

• 4+ years of experience as a Data Engineer;
• Completed Data Engineering Professional certification;
• Minimum 2 projects delivered with hands-on experience in development on Databricks;
• Experience in Apache Spark Programming with Databricks;
• Experience with Azure cloud;
• Upper-Intermediate English level.