Jobs Data Engineer

About the Client

Our client is a leading global healthcare organization, driving innovation in pharmaceuticals, biotechnology, and patient-centric solutions.

We develop advanced data and analytics solutions that help global organizations turn complex data into intuitive digital tools, enabling teams to make informed decisions in their daily operations and long-term strategy. Our projects span modern operational applications, interactive dashboards, and advanced analytics platforms designed to deliver actionable insights across multiple business domains.
 

About the Role

We are seeking a Power Platform Engineer to lead the implementation of an automated reporting and presentation-generation solution for a global pharmaceutical organization.

The primary objective is to automate the creation of PowerPoint presentations based on data and visualizations from Power BI, leveraging Power Automate, Power BI APIs, Microsoft 365 services, and Copilot capabilities. The solution will enable business users to generate standardized executive reports with minimal manual effort.

The successful candidate will work directly with business stakeholders and client team, taking ownership of solution design, implementation, and ongoing enhancements.
 

Responsibilities:

• Design and implement an automated reporting solution using Power Automate and Power BI APIs.
• Develop workflows that export Power BI report pages and populate PowerPoint templates automatically.
• Integrate Microsoft Copilot capabilities to generate AI-assisted slide commentary.
• Build user-friendly automation triggers through Teams, SharePoint, or scheduled execution.
• Configure and manage connections between Power Platform components and reporting systems.
• Ensure solution reliability, maintainability, and scalability.
• Create technical documentation and support handover activities.
• Evaluate opportunities for future integrations with SAP Analytics, financial systems, and external web-based data sources.
   

Requirements:

• 4+ years of experience working with Microsoft Power Platform.
• Strong hands-on experience with Power Automate.
• Experience integrating and working with Power BI, including Power BI Service and Power BI APIs.
• Experience building business process automation solutions within Microsoft 365.
• Solid understanding of SharePoint Online and Teams integrations.
• Experience working with REST APIs and authentication mechanisms.
• Understanding of Microsoft Copilot capabilities and AI-assisted workflow automation.
• Strong stakeholder communication and requirements clarification skills.
• Experience working in international and cross-functional teams.
• Ability to work independently and drive technical decisions.
• English level - Upper-Intermediate or higher.

Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Senior Python Engineer with Apache Airflow experience to join our dynamic team on a full-time basis.

Responsibilities

• Own and support critical backend services, ensuring their stability and performance
• Implement new features and improvements in existing systems
• Investigate issues related to data pipelines, DAGs, indexing, and web applications
• Perform root cause analysis and propose effective solutions
• Suggest and implement improvements across different layers of the system
• Actively collaborate with the team and communicate with the client

Requirements

• 5+ years of experience with Python, including development of Airflow DAGs and Flask applications
• 3+ years of experience with Apache Airflow (DAG development and orchestration)
• 3+ years of experience with Elasticsearch (data indexing and optimization)
• 3+ years of experience with GitLab, including CI/CD pipeline design
• 3+ years of experience with Oracle or PostgreSQL (ideally both)
• 3+ years of experience working with Unix/Linux systems
• 5+ years of experience working in Agile environments
• Strong experience in data pipelines, distributed systems, and backend development
• Ability to perform root cause analysis and work with complex systems
• Advanced English
• Technical degree

Soft Skills

• Proactive and self-driven approach to work
• Strong communication skills, both written and verbal
• Ability to clearly express ideas and collaborate with team members and stakeholders
• Attention to detail and commitment to high-quality delivery
• Strong listening skills and openness to feedback

We are looking for a Senior Data Engineer to support a wealth/asset management client with data integration, data platform modernization, reporting, and analytics enablement.
The ideal candidate should have strong experience building reliable data pipelines, integrating enterprise and financial systems, preparing data for BI/analytics, and working with business-critical datasets where accuracy, governance, and data quality are essential.
This role may involve working with data from portfolio management systems, CRM / ERP platforms, SAP, finance systems, reporting tools, and cloud-based data platforms.
 

Responsibilities:

Design, build, and maintain scalable data pipelines from enterprise systems into analytics/reporting environments
Integrate data from systems such as SAP, CRM, portfolio/wealth management platforms, APIs, flat files, and databases
Build and optimize data models for BI, reporting, dashboards, and business analytics
Support Tableau / Power BI reporting by preparing clean, reliable, well-structured datasets
Develop ETL / ELT workflows for ingestion, transformation, validation, and reconciliation
Implement data quality checks, monitoring, logging, and issue resolution processes
Work with business stakeholders to understand reporting requirements and translate them into data models
Collaborate with analysts, BI developers, application teams, and business users
Support migration or modernization of legacy reporting/data workflows into a more scalable architecture
Ensure data security, access control, governance, and compliance with financial-industry expectations

Requirements

5+ years of experience in data engineering, data warehousing, or analytics engineering
Strong SQL skills and experience designing analytical data models
Experience building ETL / ELT pipelines and working with structured business data
Hands-on experience with cloud data platforms or warehouses such as Snowflake, Databricks, Redshift, BigQuery, Azure Synapse, or similar
Experience integrating data from ERP / enterprise systems; SAP experience is a strong plus
Experience supporting BI tools such as Tableau, Power BI, Looker, or similar
Strong understanding of data quality, reconciliation, lineage, governance, and access control
Experience working with APIs, batch data loads, scheduled jobs, and file-based integrations
Ability to work with stakeholders to clarify reporting needs and data definitions
Strong communication skills and ability to work in a client-facing environment

Nice to Have

Experience in wealth management, asset management, private banking, investment management, family office, or financial services
Experience working with portfolio, holdings, transactions, performance, client, or advisor data
Experience with SAP data extraction/integration, SAP BW, SAP HANA, or SAP Datasphere
Experience with Tableau and Power BI semantic models/datasets
Experience with Python for data processing and automation
Experience with dbt, Airflow, Fivetran, Matillion, Informatica, Azure Data Factory, AWS Glue, or similar tools
Experience with master data management, data catalogues, data lineage, or data governance platforms
Understanding of financial reporting, regulatory reporting, or client reporting workflows

Tech Stack / Tools
Relevant experience may include:

Data platforms: Snowflake, Databricks, Redshift, BigQuery, Azure Synapse
ETL / orchestration: Airflow, dbt, Azure Data Factory, AWS Glue, Fivetran, Matillion, Informatica
BI / reporting: Tableau, Power BI, Looker
Enterprise systems: SAP, SAP BW, SAP HANA, SAP Datasphere, CRM, portfolio management platforms
Languages: SQL, Python
Cloud: AWS, Azure, GCP
Data governance: data quality checks, lineage, access control, reconciliation

Responsibilities
Design, build, and maintain end-to-end data pipelines using Palantir Foundry

Develop and manage data models, transformations, and workflows within Foundry

Integrate data from multiple sources (APIs, databases, files, event streams)

Ensure data quality, reliability, security, and governance across data products

Optimize performance and scalability of data pipelines and analytics workloads

Collaborate with product managers, analysts, and stakeholders to translate business needs into data solutions

Support analytics, reporting, and advanced use cases (including ML/AI where applicable)

Contribute to best practices, documentation, and data platform standards

Requirements (Must-Have)
Senior-level experience as a Data Engineer (5+ years)

Palantir certification (Foundry)

Strong hands-on experience working with Palantir Foundry in production

Excellent proficiency in Python and SQL

Experience building and operating cloud-based data platforms

Solid understanding of data modeling, ETL/ELT, and data warehousing concepts

Strong focus on data quality, governance, and security

Experience working in Agile, cross-functional teams

Professional working proficiency in English

Must be located in Europe

Nice to Have
Experience with cloud platforms (AWS, Azure, or GCP)

Exposure to analytics engineering or data product development

Experience working in regulated or enterprise environments

We are an international product company, we provide e-learning and self-development services to a wide audience. 

And we are looking for a Junior BI Engineer to join our team.

Stack of our BI Tool:

• SQL (SQL server, MySQL, Postgres);
• Cloud services (Amazon S3, Redshift, Google BigQuery, Amazon Athena);
• Power BI;
• Python.

Your future tasks:

• Development and optimization of reports and dashboards in Power BI.
• Hands on with Power BI Desktop (dashboard creation, reports, troubleshooting, data source management).
• Create and edit SQL queries within Power BI to build calculated fields.
• Optimizing routine tasks by creating automated reports and data extractors.
• Changing developed reports on request from the team.
• Support in data analysis and decision-making process.

About you:

• 0.5+ years of experience.
• Experience with SQL databases.
• Experience with PowerBI.
• MS Office Suite (Excel, Sp lists, Sharepoint).
• Python (pandas, numpy, json, BS, sqlalchemy, smtp).

Nice to have:

• Bachelor degree in computer-science or economics.
• Understanding of Google’s BigQuery, Data Studio or AWS’s Athena, Redshift.
• Using Python for data transformation and preparation, building data extractors.
• Knowledge of HTML, CSS, JavaScript.

We offer:

- 100% remote within international product team.

- Paid vacation, sick leaves, and additional day off.

We are looking for a senior GCP Data Engineer / Data Architect to lead and execute an on-premise to GCP data migration project.
This is a hands-on data-focused role, not a classic DevOps/Kubernetes role.

Main responsibilities:
- Lead and implement the migration of data workloads from on-premise infrastructure to GCP
- Design and build GCP data lake / lakehouse architecture
- Work hands-on with GCP data services such as BigQuery, Dataproc, Cloud Storage, Spark, and related tools
- Design and implement scalable data pipelines and data processing flows
- Handle data ingestion, storage, security, reliability, and cost optimization
- Work independently with the existing technical team and drive technical decisions

Required experience:
- Strong hands-on GCP data engineering experience
- BigQuery, Dataproc, Spark, and Cloud Storage
- Data lake / lakehouse architecture
- On-premise to cloud migration experience
- Ability to lead technical decisions and work independently

Nice to have:
- Dataflow, Pub/Sub, Cloud Composer / Airflow
Full-time availability is preferred. Please apply only if you have real hands-on experience with GCP data platforms and data migration projects.

• We are looking for a Middle Data Engineer to support a short-term, time-sensitive data project. The role centers on building and running data processing workflows on AWS using Python and SQL. This is a focused, one-time effort — the ideal candidate can onboard quickly and deliver with minimal ramp-up.

   

• Responsibilities:

  Develop and run data processing and transformation workflows on the AWS data stack
  Write and optimize Python scripts for data manipulation and AWS automation (boto3)
  Query and process datasets using SQL and AWS Athena
  Run distributed data processing jobs on AWS EMR; manage data in S3
  Perform basic statistical analysis to support project goals
  Work within the existing CI/CD and Atlassian environment (Bamboo, JIRA, Confluence)

   

• Mandatory Skills Description:

  Python for data engineering — pandas, scipy
  boto3 (AWS SDK for Python)
  SQL
  Hands-on with AWS data services: Athena, EMR, S3 (basic working knowledge acceptable)

   

• Nice-to-Have Skills Description:

  Basic statistical analysis
  C++ (a plus, not required)

   

• Languages:
  • English: B2 Upper Intermediate

Project Description:

We are looking for a Middle Data Engineer to support a short-term, time-sensitive data project. The role centers on building and running data processing workflows on AWS using Python and SQL. This is a focused, one-time effort — the ideal candidate can onboard quickly and deliver with minimal ramp-up.

Responsibilities:

Develop and run data processing and transformation workflows on the AWS data stack
Write and optimize Python scripts for data manipulation and AWS automation (boto3)
Query and process datasets using SQL and AWS Athena
Run distributed data processing jobs on AWS EMR; manage data in S3
Perform basic statistical analysis to support project goals
Work within the existing CI/CD and Atlassian environment (Bamboo, JIRA, Confluence)

Mandatory Skills Description:

Python for data engineering — pandas, scipy
boto3 (AWS SDK for Python)
SQL
Hands-on with AWS data services: Athena, EMR, S3 (basic working knowledge acceptable)

Nice-to-Have Skills Description:

Basic statistical analysis
C++ (a plus, not required)

Languages:

English: B2 Upper Intermediate

Main Responsibilities:

Data Engineer is responsible for helping select, deploy, and manage the systems and infrastructure required of a data processing pipeline to support customer requirements.

You will work on cutting-edge cloud technologies, including Microsoft Fabric, Azure Synapse Analytics, Apache Spark, Data Lake, Data Bricks, Data Factory, Cosmos DB, HD Insights, Stream Analytics, Event Grid in the implementation projects for corporate clients all over EU, CIS, United Kingdom, Middle East.

Our ideal candidate is a professional passionated with technologies, a curious and self-motivated person.

Responsibilities revolve around DevOps and include implementing ETL pipelines, monitoring/maintaining data pipeline performance, model optimization

Mandatory Requirements:

– 3+ years of experience, ideally within a Data Engineer role.

– understanding of data modeling, data warehousing concepts, and ETL processes

– 2+ years of experience with Azure Cloud technologies

– experience in distributed computing principles and familiarity with key architectures, broad experience across a set of data stores (Azure Data Lake Store, Azure Synapse Analytics, Apache Spark, Azure Data Factory)

– Understanding of landing, staging area, data cleansing, data profiling, data security and data architecture concepts (DWH, Data Lake, Delta Lake/Lakehouse, Datamart)

– SQL-skills

– communication and interpersonal skills

– English —В2

Will be beneficial if a candidate has experience in SQL migration from on-premises to cloud, data modernization and migration, advanced analytics projects, and/or professional certification in data&analytics.

We offer:

– professional growth and international certification

– free of charge technical and business trainings and the best bootcamps (worldwide, including HQ Microsoft- Redmond courses)

– innovative data & analytics projects, practical experience with cutting-edge Azure data&analytics technologies at various customers’ projects

– great compensation and individual bonus remuneration

– medical insurance

– long-term employment

– ondividual development plan

Important: after confirming your application on this platform, you’ll receive an email with the next step: completing your application on our internal site, LaunchPod. So keep an eye on your inbox and don’t miss this step — without it, the process can’t move forward.

Why join us

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :)

About the role

We are looking for a Lead Data Architect to design and evolve healthcare data architecture and lead database modernization initiatives across EMR, laboratory, pharmacy, and national health systems. You will define interoperability strategy using HL7 and FHIR standards, design REST API integration approaches, and support analytics and AI initiatives — working across SQL Server and PostgreSQL in a distributed systems environment. The role includes mentoring engineers and driving data quality and governance practices.

What you will do

• Design and evolve healthcare data architecture and data models;
• Lead database modernization, optimization, and scalability initiatives;
• Define healthcare interoperability strategy (HL7/FHIR);
• Design integration approaches for EMR, laboratory, pharmacy, and national health systems;
• Collaborate with engineering teams on architecture decisions;
• Support analytics, reporting, and future AI initiatives;
• Improve data quality, governance, and performance;
• Mentor engineers on database and integration best practices.

Must haves

• 7+ years in Data Engineering, Data Architecture, or Solution Architecture;
• Strong SQL Server and/or PostgreSQL experience;
• Experience with Non-SQL databases;
• Enterprise data modeling experience;
• REST API and integration experience;
• Experience with distributed systems;
• Strong architecture and design skills;
• HL7 and/or FHIR;
• Experience designing enterprise-grade database schemas and healthcare data models;
• Strong understanding of scalable software architecture and performance optimization;
• Experience working in Agile/Scrum environments;
• Experience with AI/ML tools to accelerate software development and testing;
• Upper-intermediate English level.

Nice to haves

• Healthcare / EMR / EHR experience;
• Analytics or data warehouse experience;
• Public health or regulated industry experience.

The benefits of joining us

• Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps

• Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities

• A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands

• Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Meet Our Recruitment Process

Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback:

• Short online form to confirm basic requirements
• 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process.
• 5-minute introduction video

Synchronous stage – Live interviews

• Technical interview with our engineering team (scheduled at your convenience)
• Final interview with your future teammates

If it’s a match — you’ll get an offer!

Key Responsibilities:

• Automate data quality and reconciliation checks across varied storage layers, including Snowflake, SQL, and RDF/SPARQL databases
• Test and verify data lineage, governance, and visualization components using Snowflake, data catalogs (ie. DataHub), Thoughtspot, and other visualization tools
• Integrate test suites into the core infrastructure orchestrated by Apache Airflow and utilizing Iceberg table formats, while monitoring data pipeline health, alerting, and observability metrics using Prometheus and Grafana Cloud
• Establish AI Evaluation Loops (Evals) and Guardrails: Build rigorous verification protocols— including structural tests, checks, and watchdog agents—to validate AI-generated artifacts, catch false positives, and ensure all automated outputs are secure, reliable, and free from hallucinations.
• Integrate automated testing workflows into CI/CD pipelines using GitHub Actions, ensuring continuous stability and quality gates across all deployment environments
• Validate ETL and dbt transformations across Data Lakehouses, rigorously testing data progression through a Medallion Architecture
• Test and automate complex API workflows, validating data payloads across OpenAPI integrations, 3rd party APIs, GraphQL, and AWS APIs (specifically S3)
  ‍

Must Haves:

• Data engineering & data testing: dbt, data lakehouse concepts, Medallion architecture
• Databases & storage testing: SQL, Snowflake, AWS S3, Iceberg
• Integrating quality check into data pipelines: Apache Airflow
• API testing & automation: REST/OpenAPI, GraphQL
• Integrating test automation into CI/CD: GitHub Actions (or similar like ArgoCD/GoCD)
• Cloud / infrastructure and observability basics: Kubernetes (K8s), Prometheus, Grafana
  ‍

Nice to Have:

• Graph databases: RDF / SPARQL
• Data governance & analytics tools: DataHub, Thoughtspot
• AI/ML testing & MLOps: AI evals, guardrails, RAG, vector databases, AI drift monitoring
• Advanced / emerging data tech: StarRocks, DuckDB
• Regulated environments: GxP, 21 CFR Part 11, HIPAA
• Clinical / domain-specific data standards: CDISC, ODM, FHIR
• AI-native tooling: Cursor, Claude Code, Copilot, QA Wolf

Шукаємо Senior / Lead Software Engineer (Data), який допоможе будувати й масштабувати production-grade data systems: пайплайни, сервіси та storage-рішення для збору, обробки, зберігання й доставки даних. Це роль для інженера з сильним software engineering mindset, який вміє працювати не лише на рівні реалізації, а й на рівні архітектури, data modeling, reliability, performance та technical leadership. Очікуємо, що людина зможе брати end-to-end ownership за критичні data workflows і впливати на стандарти команди.
 

Обовʼязки:

• Проєктувати, розробляти та підтримувати batch/streaming data pipelines і data services.
• Приймати технічні рішення щодо ingestion, orchestration, storage, трансформацій і delivery.
• Будувати ETL/ELT-рішення з використанням Python, Airflow, Cron.
• Інтегрувати дані з API, логів, NoSQL, IoT/embedded-джерел та внутрішніх сервісів.
• Проєктувати схеми зберігання, моделі даних і структури баз даних.
• Оптимізувати рішення з погляду performance, scalability, cost та maintainability.
• Забезпечувати data quality, observability, reliability і стабільність production-процесів.
• Планувати та реалізовувати міграції даних між платформами й форматами.
• Документувати схеми, трансформації, data lineage та ключові технічні рішення.
• Брати участь у code review, design discussions, incident resolution.
• Менторити інших інженерів і розвивати engineering standards у data-напрямку.
   

Вимоги:

• Значний досвід як Senior / Lead Software Engineer, Data Engineer або Backend Engineer у data-intensive середовищі.
• Сильний Python і досвід побудови production-ready рішень.
• Досвід роботи з Apache Airflow.
• Досвід роботи з MongoDB або іншими NoSQL-рішеннями.
• Сильне розуміння проєктування баз даних і data models: schema design, indexing, normalization/denormalization.
• Досвід роботи з великими обсягами даних, high-throughput або streaming workloads.
• Досвід із Azure Blob Storage або аналогічними object storage.
• Впевнене знання SQL та оптимізації запитів.
• Глибоке розуміння ETL/ELT, incremental processing, datalake/warehouse principles.
• Розуміння testing, observability, fault tolerance, idempotency, recovery для data systems.
• Досвід із Git, CI/CD, production deployment.
• Досвід технічного лідерства, mentoring, design review і роботи зі стейкхолдерами.
   

Буде плюсом:

• Snowflake, Elasticsearch
• Kafka або інші streaming-платформи
• Grafana / Prometheus
• Ansible або інші IaC / automation tools
• Power BI
• Досвід із cloud DWH, governance, lineage, internal data tools
  
  Надаємо бронювання*

We are looking for a Senior Data Engineer to join a project in the tech capital of the world – Silicon Valley.

Working hours are typically until 7–8 PM Kyiv time, plus a late call twice a month around 11 PM.
 

Project Idea

The project was founded back in 2014 with the goal of connecting private and government universities with regular people like we are. You have a variety of auditoriums, gyms, classrooms, and other venue options available for community use –
schedule facility uses and manage requests from the community all in one place.

Just imagine that you’re a football player and you can rent a football field at Harvard to play with your friends. Amazing, right?

Must have:

• 5 + years of experience in Data Engineering or related roles;
• Strong SQL skills and hands-on experience with PostgreSQL (including Aurora Serverless);
• Solid knowledge of Python for data processing and automation;
• Experience building and maintaining ETL/ELT pipelines using cloud-native tools (e.g., AWS Lambda, S3, SQS);
• Proven experience working with MongoDB and MongoDB Atlas, including event-driven architectures using Atlas Triggers, Stream Processing;
• Proficiency with dbt for building modular, testable, and well-documented data transformation workflows;
• Good understanding of data modeling principles for OLAP/OLTP systems, including normalization and dimensional modeling;
• Demonstrated experience designing and implementing data warehouses and data marts;
• Working knowledge of Node.js, particularly in backend logic tied to data ingestion or transformation workflows;
• Familiarity with cloud data platforms (e.g., AWS) and serverless computing patterns;
• A technical degree (e.g., Computer Science, Engineering, Math) is a plus;
• Upper-Intermediate English or higher for effective communication and documentation.

Soft skills:

• Proactive – you take ownership and act without waiting for direction;
• Detail-oriented – you deliver accurate, high-quality work;
• Initiative-driven – you’re eager to improve processes and take action.

Responsibilities:

• Design, implement, and maintain scalable and reliable data pipelines using Python, dbt, and AWS Lambda;
• Build and optimize data architectures to support analytics, reporting, and machine learning use cases, including data warehouse and data mart modeling on PostgreSQL (Aurora Serverless);
• Develop and manage ELT workflows that extract data from MongoDB (using Atlas triggers) and load into staging and production layers in PostgreSQL;
• Ensure data consistency and lineage by applying robust data quality checks, auditing, and reconciliation logic;
• Collaborate with cross-functional teams to gather data requirements, understand business logic, and translate them into efficient data models and transformations;
• Monitor and troubleshoot SQS/Lambda-based ingestion pipelines, addressing issues related to concurrency, message processing, and data duplication;
• Contribute to the semantic layer design used by BI and reporting tools to ensure consistency and accessibility of business metrics;
• Maintain and evolve dbt models (staging, intermediate, and marts) aligned with software engineering and analytics best practices;
• Drive continuous improvement in data engineering processes and data governance standards, ensuring scalability, maintainability, and security.

Gypsy Collective is looking for a DWH Engineer to join our team and help build scalable, reliable, and high-performance data warehouse solutions that support analytics and business decision-making. We are looking for an experienced and proactive engineer who can work across the full data lifecycle - from ingestion and modeling to optimization, monitoring, and automation - while collaborating closely with analysts, developers, and business stakeholders.

🧭 What makes you a great match:

• Strong SQL skills: complex queries, CTEs, window functions, analytical queries (5+ years experience);
• Knowledge of Python or other scripting languages for data transformations (4+ years experience);
• Deep understanding of DWH concepts: ETL/ELT, Data Vault, Kimball, Star/Snowflake schemas (5+ years experience);
• Experience with Airflow or other data pipeline orchestrators (5+ years experience);
• Hands-on experience with modern DWH and query engines: BigQuery, Snowflake, Redshift, ClickHouse, Vertica, AWS Athena, Trino (5+ years experience);
• Confident use of Git; experience with team workflows (pull requests, rebasing, merge conflict resolution (5+ years experience);

• Understanding of server and cloud infrastructure: basic skills in configuration, maintenance, monitoring, and load control (3+ years experience).

   

⭐ Nice to have:

• Experience with CDC tools and streaming data sources;
• Knowledge of Docker, Kubernetes, and Infrastructure as Code (Terraform);
• Experience with cloud platforms such as AWS, GCP, or Azure;
• Familiarity with data governance, data cataloging, and lineage tools.

📅 Your daily adventures include:

• Designing, building, and maintaining scalable Data Warehouse architectures aligned with business needs;
• Developing and optimizing ETL/ELT pipelines using Python, Airflow, and custom solutions;
• Working with DWH/Data Lake technologies including PostgreSQL, Trino, and BigQuery;
• Implementing incremental loads, CDC, backfills, and reprocessing strategies;
• Optimizing query performance, data models, and pipeline execution;
• Ensuring data quality through validation, automated testing, monitoring, and alerting;
• Integrating new data sources (APIs, third-party systems, raw data) without disrupting existing pipelines;
• Collaborating with analysts, engineers, BI teams, and business stakeholders to translate requirements into scalable data solutions;

• Reviewing code, mentoring engineers, and contributing to data engineering standards and best practices.

   

Benefits

• 💸 Flexible payment options: choose the method that works best for you.
• 🎁 Financial perks: Bonuses for holidays, B-day, work milestones and more - just to show we care.
• 📈 Learn & grow: We cover courses and certifications - and offer real opportunities to grow your career with us.
• 🥐 Benefit Сafeteria: Choose what suits you - sports, language courses, therapy sessions, and more.
• 🎉 Stay connected: From team-building events to industry conferences - we bring people together online, offline, and on stage.
• 💻 Modern Equipment: We provide new laptops along with essential peripherals like monitors and headphones for a comfortable workflow.
• 🕘 Your schedule, your rules: Start your day at 9, 10, or even 11 - we care about results, not clock-ins.
  
  If this role sounds like a good fit for you, we’d love to hear from you — apply and tell us a bit about yourself.

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.
Our group mixes disciplines from back-end, data, AI and front-end engineers and we’re looking for great Data-Oriented Backend Engineer developers that are passionate about what they do, who want to dive into the worlds of big data, microservices and production management at our scale, to help us reach our vision and goal: to be the best analytics suite in our business market.

What you’ll do

• Develop end-to-end, both client-facing and data infrastructure features, from data processing to database choice and modeling implementation
• Collaborate with product managers and software engineers to deliver complex products.
• Analyze and improve performance, scalability and stability of our systems, environments and tools.
• If you’re up to the challenge — Speak at meetups, write blog posts, speak at conferences, contribute to existing open source projects and release new open source software.

What you have

• 3+ years of development experience with a passion for excellence
• Experience in data engineering with a focus on Apache and Scala-Spark / py-spark)
• Experience with high throughput, low latency, mission-critical distributed systems
• Great communication skills in English
• B.Sc. in Computer Sciences or an equivalent.

Bonus Points

• Experience with large-scale production databases
• Experience with Airflow
• Strong server-side skills.
• Experience production grade BigQuery ETL and DBs.
• Experience with production grade GO BE services.
• Experience with production grade Clojure BE services.
• An “AI mindset”: stays up to date with the AI landscape, explores tools like Cursor or GitHub Copilot, and looks for ways to boost productivity through AI
• Recommended by an AppsFlyer employee

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

As a global company operating from 25 offices across 19 countries, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We value and encourage curiosity, diversity, and innovation from all our employees, customers, and partners.

“As a Customer Obsessed company, we must first be Employee Obsessed. We need to make sure that we provide the team with the tools and resources they need to go All-In.” Oren Kaniel, CEO