Jobs Data Engineer

We are looking for a Data Architect who will participate in the formation and development of Data Governance across the entire Bank. The main goal is to design and implement a comprehensive data architecture for the bank that ensures data quality, accessibility, security, and traceability (lineage) to support the Data Governance strategy, which ensures data consistency, business decision support, regulatory compliance, and maximization of data value as a strategic asset

Your future responsibilities:

• Designing target architecture: developing data models and requirements for their description
• Building data flow maps from source systems to reporting to ensure complete transparency of data origin
• Performing data profiling and analysis of the source system
• Formulating clear conclusions to support the end use of data
• Use metadata repositories to perform data and system integration impact analysis
• Participate in defining data exchange principles (ETL/ELT, Kafka, REST API) with a focus on data integrity
• Participate in the implementation of Data Quality Management (DQM): rules, monitoring, control
• Participate in the implementation of Data Governance controls in business processes and systems
• Identify data-related risks, develop and monitor a minimization plan
• Implement KPIs and OKRs for the Data Governance program
• Communicate results to key stakeholders

Your skills and experience:

• 3+ years of experience in banking or finance
• Expertise in data modeling techniques
• Strategic thinking and architectural approach
• Deep understanding of Data Governance Frameworks (DAMA-DMBOK, DCAM)
• Expertise in Data Quality, Master Data, Metadata, Data Security
• Strong analytical and problem-solving skills, as well as the ability to identify and solve complex data management issues
• Deep understanding of regulatory requirements (BCBS 239, GDPR)
• Communication skills: ability to translate complex data concepts into business-friendly language
• Familiarity with agile methodologies in a data environment

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 program with rewards for bringing in new colleagues to Raiffeisen Bank
• Social package: official employment, 28 days of paid leave, additional paternity leave, and financial assistance for parents with newborns
• Comfortable working conditions: possibility of a hybrid work format, offices equipped with shelters and generators, modern equipment. Classification: PUBLIC
• Wellbeing program: all employees have access to medical insurance from the first working day; consultations with a psychologist, nutritionist, or lawyer; discount programs for sports and purchases; family days for children and adults; in-office massages
• Training and development: access to over 130 online training resources; corporate training programs in CX, Data, IT Security, Leadership, Agile. Corporate library • Great team: our colleagues form a community where curiosity, talent, and innovation are welcome. We support each other, learn together, and grow. You can find like-minded individuals in over 15 professional communities, reading clubs, or sports clubs
• Career opportunities: we encourage advancement within the bank across functions
• Innovations and technologies: 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 (Android). Data stores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink
• Support program for defenders: we maintain jobs and pay average wages to mobilized individuals. For veterans, we have a support program and develop the Bank’s veterans community. We work on increasing awareness among leaders and teams about the return of veterans to civilian life. Raiffeisen Bank has been recognized as one of the best employers for veterans by Forbes

Why Raiffeisen Bank?

• Our main value is people, and we support and recognize them, educate them and involve them in changes. Join Raif’s team because for us YOU matter!
• One of the largest lenders to the economy and agricultural business among private banks
• Recognized as the best employer by EY, Forbes, Randstad, Franklin Covey, and Delo.UA
• The largest humanitarian aid donor among banks (Ukrainian Red Cross, UNITED24, Superhumans, СМІЛИВІ)
• One of the largest IT product teams among the country’s banks. • One of the largest taxpayers in Ukraine; 6.6 billion UAH were paid in taxes in 2023

Opportunities for Everyone:

• Rife is guided by principles that focus on people and their development, with 5,500 employees and more than 2.7 million customers at the center of attention
• We support the principles of diversity, equality and inclusiveness
• We are open to hiring veterans and people with disabilities and are ready to adapt the work environment to your special needs
• We cooperate with students and older people, creating conditions for growth at any career stage

Want to learn more? — Follow us on social media:

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Райффайзен Банк — найбільший український банк з іноземним капіталом. Більше 30 років ми створюємо та вибудовуємо банківську систему нашої держави.

У Райфі працює понад 5 500 співробітників, серед них одна із найбільших продуктових ІТ-команд, що налічує понад 800 фахівців. Щодня пліч-о-пліч ми працюємо, щоб більш ніж 2,7 мільйона наших клієнтів могли отримати якісне обслуговування, користуватися продуктами і сервісами банку, розвивати бізнес, адже ми #Разом_з_Україною. 

Ми шукаємо Дата Архітектора, який візьме участь у формуванні та розвитку Data Governance у масштабах всього Банку. Основна мета — проєктування та впровадження цілісної архітектури даних банку, яка забезпечує якість, доступність, безпеку та простежуваність (lineage) даних для підтримки стратегії Data Governance, яка забезпечує узгодженість даних, підтримку бізнес-рішень, відповідність регуляторним вимогам та максимізацію цінності даних як стратегічного активу.

Твої майбутні обов’язки:

• Проєктування цільової архітектури: розробка моделей даних та вимог до їхнього опису
• Побудова карт потоків даних від систем-джерел до звітності, щоб забезпечити повну прозорість походження даних
• Проводити профілювання даних та аналіз вихідної системи
• Формулювання чітких висновків для підтримки кінцевого використання даних
• Використовувати репозиторії метаданих для виконання аналізу впливу інтеграції даних та систем
• Приймати участь у визначенні принципів обміну даними (ETL/ELT, Kafka, REST API) з фокусом на цілісність даних
• Участь у впровадженні Data Quality Management (DQM): правила, моніторинг, контроль
• Приймати участь у впровадженні контролів Data Governance у бізнес-процеси та системи
• Ідентифікація ризиків, пов’язаних з даними, розробка та контроль плані мінімізації
• Впровадження KPI та OKR для Data Governance програми
• Комунікація результатів ключовим стейкхолдерам

Твій досвід та навички:

• 3+ досвід роботи в банківській або фінансовій галузі
• Експертне володіння методиками моделювання даних
• Стратегічне мислення та архітектурний підхід
• Глибоке розуміння Data Governance Frameworks (DAMA-DMBOK, DCAM)
• Експертиза в Data Quality, Master Data, Metadata, Data Security
• Сильні аналітичні навички та навички вирішення проблем, а також здатність виявляти та вирішувати складні проблеми управління даними
• Глибоке розуміння регуляторних вимог (BCBS 239, GDPR)
• Комунікаційні навички: здатність перекладати складні концепції даних на зрозумілу для бізнесу мову
• Знайомство з гнучкими методологіями в середовищі даних

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 з CX, Data, IT Security, Лідерства, Agile. Корпоративна бібліотека та уроки англійської.
• 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.
• 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).

Чому Райффайзен Банк? 

• Наша головна цінність — люди і ми даємо їм підтримку і визнання, навчаємо, залучаємо до змін. Приєднуйся до команди Райфу, адже для нас ТИ маєш значення! 
• Один із найбільших кредиторів економіки та аграрного бізнесу серед приватних банків 
• Визнаний найкращим працедавцем за версіями EY, Forbes, Randstad, Franklin Covey, Delo.UA 
• Найбільший донор гуманітарної допомогисеред банків (Червоний Хрест України, UNITED24, Superhumans, СМІЛИВІ) 
• Один із найбільших платників податків в Україні, за 2023 рік було сплачено 6,6 млрд гривень

Можливості для всіх: 

• Райф керується принципами, що фокусуються на людині та її розвитку, у центрі уваги 5 500 співробітників та понад 2,7 мільйони клієнтів  
• Підтримуємо принципи різноманіття, рівності та інклюзивності
• Ми відкриті до найму ветеранів і людей з інвалідністю та готові адаптувати робоче середовище під ваші особливі потреби
• Співпрацюємо зі студентами та людьми старшого віку, створюючи умови для зростання на будь-якому етапі кар’єри

The company helps hotel chains like Hilton and Marriott transform front-desk staff into revenue generators through upselling training and analytics. Their IN-Gauge SaaS platform empowers frontline teams across 2,000+ properties in over 100 countries.

- Implement scaling of the case detection process (scanner)
- Split API into multiple API services
- Emulate pubsub/cloud run locally
- Implement scaling of the case detection process (scanner)
- Split API into multiple API services
- Emulate pubsub/cloud run locally
- Extract & process data using PySpark + S3 (Kafka/Kinesis — bonus)
- Write & optimize SQL on PostgreSQL/Redshift; use DynamoDB as data source/sink
- Run and debug ETL jobs on Glue or EMR; monitor via console/Spark UI

Must-have skills:
- Data engineering - 5 years, 
- AWS - 3 years (1 year latest project), 
- Spark/PySpark - 2 years (1 year latest project)
- English B2+

Looking for a Data Engineer to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

Skills requirements:
• 2+ years of experience with Python;
• 2+ years of experience as a Data Engineer;
• Experience with Pandas;
• Experience with SQL DB / NoSQL (Redis, Mongo, Elasticsearch) / BigQuery;
• Familiarity with Amazon Web Services;
• Knowledge of data algorithms and data structures is a MUST;
• Working with high volume tables 10m+.

Optional skills (as a plus):
• Experience with Spark (pyspark);
• Experience with Airflow;
• Experience with Kafka;
• Experience in statistics;
• Knowledge of DS and Machine learning algorithms..

Key responsibilities:
• Create ETL pipelines and data management solutions (API, Integration logic);
• Different data processing algorithms;
• Involvement in creation of forecasting, recommendation, and classification models.

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary fixed in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

About Traffic Label
Traffic Label is a performance marketing and technology company with nearly two decades of experience driving engagement and conversion across the iGaming and digital entertainment sectors.
We’re now building a Customer Data Platform (CDP) on Snowflake and AWS - unifying player data across multiple brands to power automation, insights, and personalization.

The Role
We’re looking for a Data Engineering Lead to own the technical delivery and development of this platform. You’ll architect scalable pipelines, lead a small team, and ensure data reliability, accuracy, and performance.
Team size: 3–4 engineers/analysts

Key Responsibilities

• Design and implement scalable data pipelines processing millions of events daily
• Own Snowflake data warehouse architecture, optimization, and cost control
• Lead the engineering team through delivery and performance improvements
• Ensure >95% data accuracy and 99.9% pipeline uptime
• Collaborate with marketing, analytics, and compliance teams to align data with business goals

Requirements

• 5+ years in data engineering, 2+ in leadership roles
• Expert in SQL, and Python
• Proficient with AWS (S3, Lambda, IAM) and orchestration tools (Airflow, dbt, etc.)
• Strong understanding of data governance, cost optimization, and performance tuning
• Experience with iGaming data, Kafka/Kinesis, or MLflow is a plus

Why Join Us

• Build a core data platform from the ground up
• Competitive salary and performance bonuses
• Flexible remote or hybrid work across Europe
• Supportive, innovative, data-driven culture

Ready to lead a data platform that powers smarter decisions across global iGaming brands?
Apply now to join Traffic Label’s Data & Technology team.

We are developing a new tool to evaluate the effectiveness of retailer (e.g. large groceries chains) promotions. This solution will enhance promotion effectiveness forecasting, support choosing right way of introducing it (time, volume, type of discounts etc.) based on engeneering of historical data and introducing forecasting models.

The tool incorporates modern solution stack requirements, which will improve user experience, back-end robustness, and data processing efficiency. We anticipate these enhancements will meet stakeholder needs and contribute to business goals.

Job Description

• Expert in Tableau or Power BI with ability to build complex, interactive visualizations from scratch quickly and 6+ years of experience in the field
• Proven ability to compare and contrast BI tools (specifically the trade-offs between Tableau’s visual flexibility and Looker’s governed modeling).
• Expert-level SQL for data manipulation and performance tuning within cloud warehouses (Snowflake, BigQuery, or Databricks).
• Cross-Platform Literacy: Proven ability to compare and contrast BI tools (specifically the trade-offs between Tableau’s visual flexibility and Looker’s governed modeling).
• English proficiency 
• Good to have: Experience with open table format LakeHouse architectures (Delta Lake, Apache Iceberg, DuckLake)

As a Senior BI specialist, your main responsibilities will be:

• Maintaining the Business Intelligence repository and catalog. Working closely with data architects, data analysts, and a variety of end-users to ensure technical compatibility and user satisfaction.
• Data Ingestion & Cleaning: Analyze and process raw log files (CSV/Excel), handling data inconsistencies and structuring it for analysis.
• Dashboard Creation: Design and build interactive dashboards in Tableau or PowerBI to visualize key metrics.
• Work with the engineering team to define the long-term data requirements for the future platform.
• Conduct a comprehensive audit of current BI workflows to recommend a "future-state" platform (e.g., Looker, Sigma, or ThoughtSpot) based on scalability, cost, and user adoption.

We need someone with solid on-premises networking experience at CCNA/CCNP level who has made the move into Azure cloud networking and can operate confidently across both worlds in a hybrid enterprise environment.

What this role is about

This is a hands-on role at the heart of a modern cloud platform. You will design and operate secure, high-performance network infrastructure with a strong focus on Microsoft Azure, enterprise connectivity, and perimeter security. Your work directly enables product and development teams to move quickly — without cutting corners on stability or safety. It is a role that blends deep technical execution with real architectural influence.

What you will actually do

Design and support secure, scalable Azure network architectures across landing zones, subscriptions, and tenants

Enable hybrid and multi-cloud connectivity including peering and enterprise integration

Create a clear, consistent path for developers that balances security, usability, and delivery speed

Implement strong network segregation using VNets, NSGs, routing, and security appliances

Own and continuously improve perimeter and edge services — including Web Application Firewalls, DDoS protection, SSL VPNs, and load balancing including Global Server Load Balancing

Work across firewall and threat-prevention platforms from Microsoft, Palo Alto, Check Point, and Cisco

Support identity and access flows where they intersect with network design

Collaborate with managed service providers and professional services partners

Design with non-functional requirements front of mind — security, availability, scalability, and performance

What you bring — essential

Proven experience designing, implementing, and supporting cloud network technologies

Strong hands-on Azure networking experience

Solid background in hybrid and multi-cloud environments

Deep grounding in enterprise networking fundamentals — routing, switching, and security — at CCNA/CCNP level or equivalent

Experience working alongside managed service providers or delivery partners

Security-first mindset with practical experience across perimeter and network security services

Microsoft Certified: Azure Network Engineer Associate, or actively working toward it

Cisco CCNP or comparable enterprise networking certification, or in progress

ITIL Foundation or equivalent service management knowledge

Why this role stands out

You will not just keep the lights on — you will shape how enterprise-scale cloud networks are designed and evolved. It is a rare blend of deep hands-on technical work and genuine architectural responsibility, working alongside experienced platform, engineering, and security teams to build foundations that let the whole organisation move faster and with greater confidence.

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

Our client is a global jewelry manufacturer that is transforming its data and analytics footprint and is also on a journey from IaaS-based Microsoft/QV solutions to Azure PaaS.

As a Data Engineer, you will collaborate with product owners, architects, and other key profiles across the global organisation. You will help business verticals and clusters maximize the value of the data and drive business change as a result.

Your primary focus will be building and implementing scalable data products on the global data platform together with other smart engineers in the organization.

Responsibilities

• Work closely with your colleagues within a product team to design scalable, efficient, and stable products
• Work closely with product owners to build and deliver features designed to drive commercial business cases and efficiencies within reporting and analytics, and other data-driven use cases
• Create and maintain a high-quality data pipeline architecture
• Obtain relevant business and system knowledge to convert requirements efficiently to technical design documentation and conceptual data modelling
• Ingest large, complex data sets, automate manual processes, optimize data delivery, improve data quality, etc.
• Own your data products and track continuous stability and benefits
• Live and breathe "build -once-consume-many" culture in which we enable others to use our data products for maximum value-add
• Work with stakeholders and teams to assist with data-related technical challenges
• Follow best practice and existing guidelines, but also push the limits
• Thrive in a fast-paced environment, and you get motivated by challenges as a true problem solver.

Skills Required

• Relevant education within Computer Science, Mathematics, Economics, Information Management, or Statistics
• 3+ years of experience as a Data Engineer or in a Software engineering role with a focus on data
• Proven experience with ADF, Data Lake, Synapse, T/U-SQL, Databricks, MDS, DAX, SSIS, and SQL Server
• Experience with at least one object-oriented or functional/scripting language - Java, Scala, Python, etc.
• DevOps and CI/CD focus
• Hands-on with git and coding best practices
• Unit testing
• Experience in working with relational data sets using SQL
• Experience with data warehousing, dimensional modelling, and cubes
• Experience in building and optimizing data pipelines, architectures, and datasets
• Experience in working with Azure, AWS, or other cloud providers
• Designed, built, and delivered production-ready data products at an enterprise level
• Highly proficient in English and able to communicate with all levels
• Agile mindset and experience of Scrum

It's a plus if you have worked with:

• Big data: Spark, Hadoop
• Data pipeline and workflow tools: Airflow
• Infrastructure: Kubernetes and Helm; we're using Airflow running on Kubernetes
• Stream-processing systems: Kafka or Spark Streaming

Paycord is a PayTech company with a high-load platform for payment processing. We combine fintech expertise with merchant insights to create innovative solutions. We’ve successfully developed a strong product that helps businesses succeed in new markets.

Our primary focus is on solution-driven development, and we prioritize the needs of our business clients. We provide access to a wide range of local and international payment methods, supporting businesses in reaching new heights and achieving excellence.

We’re rapidly growing and inviting a Data Engineer to our team.

You would be running tasks such as:

• Develop and maintain ETL pipelines using Airflow, Python, SQL, and AWS services such as S3;
• Write efficient Python code for data processing and transformation (ETL);
• Working with Data Lake and Snowflake based DWH;
• Manage database systems and optimize SQL queries for performance;
• Collaborate with different departments and teams to understand data requirements and deliver scalable solutions;
• Implement best practices for data management, security, and compliance;
• Monitor and troubleshoot data pipelines to ensure reliability and performance;
• Expected to take the initiative by suggesting optimizations and improvements to the BI system.
   

Required skills and expertise:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Mathematics, Statistics, Physics, or related field;
• Experience with AWS services (including S3, Athena will be a plus);
• Advanced programming skills in Python;
• Proved skills in SQL and database management;
• Experience with DWH such as Snowflake or similar (BigQuery, RedShift);
• Experience building and optimizing ETL pipelines in a production environment
• Experience with Airflow.
  
  Will be a plus:
• Experience with Tableau;
• Experience with JS, React ;
• Experience with FinTech or related.
   

We offer:

Care for your health and well-being

• 100 % paid sick leaves;
• 20 working days of paid vacation;
• Medical support;
• Benefits Cafeteria (budget for gym/stomatology/psychological service & etc.);
• Corporate gifts & events.

Professional growth & development

• Competitive salary with annual salary promotions;
• The annual budget for professional courses, conferences, workshops, and books;
• Internal training courses;
• Work with a team of professionals and have the opportunity to share knowledge.

Corporate Culture

• Dynamic and result-oriented work environment;
• The ability to influence product development at an early stage;
• Openness to new ideas and approaches, healthy team discussions;
• No “red tape” culture.

Candidate journey:
HR Interview — Interview with Team Lead — Reference check — Job Offer

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

We are looking for a talented and experienced Cloud Engineer to join our growing team. As well as experience with cloud infrastructure, networking, and security, the Cloud Platform Engineer will be responsible for operating, monitoring, and maintaining our many Azure subscriptions and associated global applications. This is a cloud infrastructure role.

As a Cloud Platform Engineer with cloud architecture, you will work closely with other data professionals, software engineers, and business stakeholders to build, maintain and support efficient, scalable, and secure data pipelines. This role involves both engineering and operations, requiring comfort with project work and handling incident tickets as part of the team.

Responsibilities:

• Design, build and maintain Azure based infrastructure with Terraform modules (IaaS and PaaS resources) as part of new projects or updates needed to production environments;
• Troubleshoot IaaS and PaaS issues raised via SNow incident and meet ticket closure SLA’s;
• Documentation and knowledge sharing: create and maintain environment diagrams, playbooks, runbooks, and best practice documents;
• Communicate with internal business partners including guidance on application design.

Qualifications:

• 3+ years of experience with Azure core services: Resource Manager, Virtual Machines/Scale Sets, Storage (Blob/Files), Networking (VNets, NSGs, Load Balancer, App Gateway, DNS, Private Link);
• 3+ year of experience in Windows or Linux administration, with strong problem-solving abilities;
• 3+ years of experience with Azure Kubernetes Service;
• 2+ years of experience with Terraform;
• Ability to work independently and initiate tasks without supervision and utilize strong interpersonal and organizational skills;
• Excellent problem-solving and analytical skills.

NICE TO HAVE:

• Experience with BICEP and/or ARM templates;
• CI/CD and automation: Azure DevOps Pipelines or GitHub Actions (YAML);
• Familiarity with configuration management tools, preferably Ansible;
• Familiarity with configuring and managing Kafka/MongoDB/Elasticsearch;
• Competency in scripting languages such as Bash, Shell, or PowerShell.

Policy statements:
https://www.pwc.com/ua/uk/about/privacy.html

CrunchCode — міжнародна сервісна ІТ-компанія з досвідом близько 7 років у розробці вебсервісів і вебзастосунків. Ми працюємо у форматах staff augmentation (outstaff) та outsourcing і підключаємо спеціалістів до проєктів клієнтів у довгостроковій моделі співпраці.

Ми працюємо переважно з проєктами в доменах логістики (включно з last mile),e-commerce, fintech та банкінгу, а також enterprise-рішеннями.
Для нас важливо, щоб проєкт був “чистим” і зрозумілим з точки зору етики та цінності для користувачів.

Ми принципово не беремо проєкти, пов’язані з:
● gambling / гемблінгом,
● adult-контентом та порнографією,
● шахрайством або будь-якою розробкою, що спрямована на обман чи маніпуляції.

What We Offer:
● Fully remote work
● Long-term, stable project
● High level of autonomy and trust
● Minimal bureaucracy
● Direct impact on business-critical logistics systems
● Long-term engagement, not a short-term contract.

Tech Stack
Python, SQL, GCP, BigQuery, ETL/ELT, Data Modeling, DBT, Airflow / Cloud Composer
Duration: 9+ months

What We Offer:
● Fully remote work
● Long-term, stable project
● High level of autonomy and trust
● Minimal bureaucracy
● Direct impact on business-critical logistics systems
● Long-term engagement, not a short-term contract.

Requirements (Must-have):
- Strong hands-on Python experience for data engineering
- Strong experience with GCP and cloud-based data workflows
- Experience building and maintaining production data pipelines
- Strong SQL and data modeling skills
- Ability to work with large-scale or unstructured data
- Experience collaborating with data scientists and cross-functional engineering teams
- Ability to deliver practical, reliable solutions in a fast-evolving environment

Responsibilities:
- Build new data pipelines and adapt existing ETL/ELT workflows
- Move and organize data in cloud storage and analytical systems (BigQuery)
- Work closely with data scientists on tables, transformations, and methodology implementation
- Connect services and data sources required for the solution
- Optimize queries and support scalable data processing
- Work with large, unstructured datasets including voice-related data
- Help operationalize evolving architecture decisions into production-ready data flows
- Collaborate with engineering and data teams to ensure reliable execution

Nice to Have:
- Experience with DBT
- Experience with Airflow or Cloud Composer
- Experience with large, unstructured, or voice-related datasets
- Lead-level coordination experience
- Experience supporting production data workflows in rapidly evolving projects

Hiring Process:
- Intro call
- Technical discussion
- Offer
Start: ASAP

We are looking for a Senior Data Engineer who can design, implement, and evolve scalable data systems in AWS.

Core Responsibilities
 

• Design and implement batch and streaming data pipelines using Apache Spark.
• Build and evolve a scalable AWS-based data lake architecture.
• Develop and maintain real-time data processing systems (event-driven pipelines).
• Own performance tuning and cost optimization of Spark workloads.
• Define best practices for data modeling, partitioning, and schema evolution.
• Implement monitoring, observability, and data quality controls.
• Contribute to infrastructure automation and CI/CD for data workflows.
• Participate in architectural decisions and mentor other engineers.

Required Qualifications
 

• 5+ years of experience in Data Engineering.
• Strong hands-on experience with Apache Spark (including Structured Streaming).
• Experience building both batch and streaming pipelines in production environments.
• Proven experience designing AWS-based data lake architectures: S3, EMR, Glue, Athena.
• Experience with event streaming platforms such as Apache Kafka or Amazon Kinesis.
• Experience implementing lakehouse formats such as Delta Lake.
• Strong understanding of partitioning strategies and schema evolution.
• Experience using SparkUI and AWS CloudWatch for profiling and optimization.
• Strong understanding of Spark performance tuning (shuffle, skew, memory, partitioning).
• Proven track record of cost optimization in AWS environments.
• Experience with Docker and CI/CD pipelines.
• Experience with Infrastructure as Code: Terraform, AWS CDK.
• Familiarity with monitoring and observability practices.
• Experience in the Financial domain.
• Experience running Spark workloads on Kubernetes.
• Experience implementing data quality frameworks or metadata/lineage systems.

Company: German E-Commerce BI Solutions Provider
Engagement: Part-time to start, with clear expansion potential

About Us

We are a German-based provider of Business Intelligence solutions for the e-commerce sector. Our mission is to enable data-driven decision-making for online businesses through scalable data architectures, robust analytics pipelines, and actionable insights.

To strengthen our data team, we are looking for a hands-on Data Engineer who enjoys building reliable data pipelines and working at the intersection of engineering and analytics.
 

Your Role

As a Data Engineer, you will design, build, and maintain scalable data pipelines and data models that power our BI and analytics solutions for e-commerce clients. You will work closely with analytics, product, and business stakeholders to ensure high data quality and availability.

This role starts as a part-time engagement with strong potential to grow into a larger scope as the collaboration evolves.
 

Responsibilities

• Design, develop, and maintain robust data pipelines using Python
• Transform and process data using Pandas DataFrames
• Write and optimize complex SQL queries (SQL proficiency is a core requirement)
• Build and maintain data workflows using orchestration tools (e.g., Dagster or similar)
• Work with cloud data warehouses (e.g., Amazon Redshift or similar technologies)
• Ensure data quality, reliability, and performance across pipelines
• Collaborate with BI and analytics teams to translate business requirements into technical solutions
• Continuously improve data architecture and engineering best practices
   

Must-Have Qualifications

• Minimum 4 years of professional experience with Python, including extensive hands-on experience with Pandas
• Strong, production-level SQL skills (natural prerequisite for the role)
• Solid understanding of data modeling and ETL/ELT processes
• Experience building and maintaining data pipelines in a professional environment
• Ability to work independently in a part-time setup and take ownership of deliverables
   

Nice-to-Have

• Experience with Amazon Redshift
• Experience with Dagster
• Experience with other SQL dialects beyond Redshift
• Experience with orchestration tools such as Airflow or similar
• Background in e-commerce, BI, or analytics-driven environments
• Familiarity with cloud-based data architectures
   

What We Offer

• Flexible part-time engagement with scalability toward a larger role
• Remote setup
• High impact in a growing e-commerce BI environment
• Opportunity to shape and improve modern data architecture
• Collaborative, pragmatic, and engineering-focused culture

About the Project

We are building a system that integrates multiple databases and external APIs, aggregates data from various sources, and constructs a real-time knowledge graph to track complex relationships between entities.

Key Requirement

‼️ Hands-on experience with graph databases (minimum 6 months) is mandatory.
We are specifically looking for candidates who have practical experience with graph data modeling and writing queries.

Tech Stack

Graph Databases, Neo4j, Python, FastAPI, SQL, NoSQL, Docker, Docker Compose.

Responsibilities

— Design, build, and maintain scalable data pipelines
— Develop and optimize graph-based data models (nodes, edges, properties)
— Build and maintain a real-time knowledge graph
— Integrate multiple data sources (APIs, SQL, NoSQL databases)
— Optimize graph queries and data processing performance
— Work with cloud infrastructure (AWS)
— Collaborate with backend and product teams to design data solutions
— Build proof-of-concept solutions involving graph technologies

Requirements

— 3+ years of experience as a Data Engineer / Backend Engineer (data-heavy projects)
— Hands-on experience with graph databases (Neo4j, ArangoDB, Amazon Neptune, etc.)
— Strong knowledge of SQL and NoSQL databases
— Experience building data pipelines and working with large datasets
— Good understanding of data modeling (especially graph structures)
— Experience with AWS or other cloud platforms
— Python proficiency
— English (from Upper-Inermediate)

Nice to Have

— Experience with knowledge graphs
— Experience with streaming or real-time data processing
— Background in Computer Science, Mathematics, or related field
— Experience with recommendation systems / analytics / fraud detection

Who will succeed in this role

Someone who enjoys working with complex data relationships, understands how to model real-world systems as graphs, and can bridge backend engineering with data engineering practices.

Numerical Technologies LTD is a leading provider of custom software solutions and services specializing in risk, limits, and regulatory capital. Right now, we are looking for a Python/Data Engineer to join our team.
 

What you will be doing:

As part of the team, you will be participating in a project with a large US bank. You will be helping us develop data pipelines and support and maintain the ETL framework. You will be writing scalable and fault-tolerant code, debugging data flows, and integrating applications with third-party web services. You will be working closely with the client and product manager to understand the system’s functional and non-functional requirements, and contribute to code quality through unit testing, integration testing, code review, and system design using Python to build robust solutions that align with the client’s business needs.

What are we looking for:

• A strong programming background with Python and OOP skills.
• Hands-on experience building and maintaining scalable data pipelines (ETL/ELT).
• Proficiency with SQL databases.
• Experience with Python data processing libraries such as Pandas, Polars.
• Experience with workflow orchestration tools (e.g., Airflow).
• Experience working with cloud platforms (preferably GCP).
• Hands-on experience with Docker, Kubernetes, and Linux.
• Strong problem-solving skills and ability to collaborate effectively in a team environment.

What we offer:

• Competitive compensation depending on experience and skills.
• Regular assessments and salary reviews.
• Paid personal days.
• Mental health support program.
• Language classes.
• Flexible working schedule.