Jobs Data Engineer

We are looking for an experienced Data Engineer to join a long-term B2C project. The main focus is on building Zero ETL pipelines, as well as maintaining and improving existing ones.

Responsibilities:
- Build and maintain scalable Zero ETL pipelines.
- Design and optimize data warehouses and data lakes on AWS (Glue, Firehose, Lambda, SageMaker).
- Work with structured and unstructured data, ensuring quality and accuracy.
- Optimize query performance and data processing workflows (Spark, SQL, Python).
- Collaborate with engineers, analysts, and business stakeholders to deliver data-driven solutions.

Requirements:
- 5+ years of experience in Data Engineering.
- Advanced proficiency in Spark, Python, SQL.
- Expertise with AWS Glue, Firehose, Lambda, SageMaker.
- Experience with ETL tools (dbt, Airflow etc.).
- Background in B2C companies is preferred.
- JavaScript and Data Science knowledge are a plus.
- Degree in Computer Science (preferred, not mandatory).

We offer:
- remote time job, B2B contract
- 12 sick leaves and 18 paid vacation business days per year
- Comfortable work conditions (including MacBook Pro and Dell monitor on each workplace)
- Smart environment
- Interesting projects from renowned clients
- Flexible work schedule
- Competitive salary according to the qualifications
- Guaranteed full workload during the term of the contract
 

Description

The GlobalLogic technology team is focused on next-generation health capabilities that align with the client’s mission and vision to deliver Insight-Driven Care. This role operates within the Health Applications & Interoperability subgroup of our broader team, with a focus on patient engagement, care coordination, AI, healthcare analytics, and interoperability. These advanced technologies enhance our product portfolio with new services while improving clinical and patient

experiences.

Requirements

An AWS Data Engineer designs, develops, and maintains scalable data solutions using AWS cloud services.

Key Responsibilities:
    • Design, build, and manage ETL (Extract, Transform, Load) pipelines using AWS services (e.g., Glue, Lambda, EMR, Redshift, S3).
    • Develop and maintain data architecture (data lakes, warehouses, databases) on AWS.
    • Implement data quality and governance solutions.
    • Automate data workflows and monitor pipeline health.
    • Ensure data security and compliance with company policies.
Required Skills:
    • Proficiency with AWS cloud services, especially data-related offerings (S3, Glue, Redshift, Athena, EMR, Kinesis, Lambda).
    • Strong SQL and Python skills.
    • Experience with ETL tools and frameworks.
    • Familiarity with data modelling and warehousing concepts.
    • Knowledge of data security, access management, and best practices in AWS.
Preferred Qualifications:
    • AWS certifications (e.g., AWS Certified Data Analytics – Speciality, AWS Certified Solutions Architect).
    • Background in software engineering or data science.

• Hands-on experience with Oracle Database and log-based Change Data Capture (CDC) replication using AWS Database Migration Service (DMS) for near real-time data ingestion.

Job responsibilities

– Develops, documents, and configures systems specifications that conform to defined architecture standards, address business requirements, and processes in the cloud development & engineering.

– Involved in planning of system and development deployment, as well as responsible for meeting compliance and security standards.

– API development using AWS services in a scalable, microservices-based architecture

– Actively identifies system functionality or performance deficiencies, executes changes to existing systems, and tests functionality of the system to correct deficiencies and maintain more effective data handling, data integrity, conversion, input/output requirements, and storage.

– May document testing and maintenance of system updates, modifications, and configurations.

– May act as a liaison with key technology vendor technologists or other business functions.

– Function Specific: Strategically design technology solutions that meet the needs and goals of the company and its customers/users.

– Leverages platform process expertise to assess if existing standard platform functionality will solve a business problem or if a customisation solution would be required.

– Test the quality of a product and its ability to perform a task or solve a problem.

– Perform basic maintenance and performance optimisation procedures in each of the primary operating systems.

– Ability to document detailed technical system specifications based on business system requirements

– Ensures system implementation compliance with global & local regulatory and security standards (i.e. HIPAA, SOCII, ISO27001, etc.)

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

Introduct Group is an international technology company delivering tailored software solutions and digital products for businesses worldwide. We work on complex, large-scale projects across multiple industries, helping clients build reliable, scalable, and secure systems.

Our company participates in a variety of projects across the Middle East, including the UAE, Saudi Arabia, and Oman, working with both government institutions and private sector clients.

We are currently looking for an experienced Data Engineer with Oracle experience to join an international project focused on modernizing data infrastructure and migrating an existing Data Warehouse environment to an Oracle Exadata platform.

The role involves long-term business trips or partial relocation to Oman.

Requirements

    •    5+ years of experience as a Data Engineer or working with data platforms

    •    Strong experience with Oracle databases (development, optimization, or administration)

    •    Experience with ETL processes and tools

    •    Experience with Pentaho or similar ETL solutions

    •    Experience working with large-scale data environments

    •    Understanding of data modeling principles (DWH concepts, schemas)

    •    Experience with database monitoring and performance optimization

    •    Basic understanding of networking concepts

    •    Strong troubleshooting and analytical skills

    •    English level: Upper-Intermediate or higher

Responsibilities

    •    Analyze the existing Oracle-based data environment, including data flows and dependencies

    •    Design and implement data pipelines for data migration and transformation

    •    Participate in the migration of Data Warehouse solutions to Oracle Exadata

    •    Develop, optimize, and maintain ETL processes

    •    Ensure data quality, consistency, and reliability across systems

    •    Monitor data pipelines and optimize performance of data processing workflows

    •    Collaborate with infrastructure and backend teams to ensure proper data integration

    •    Troubleshoot and resolve data-related issues in production environments

Nice to have

    •    Experience working with Oracle Exadata

    •    Experience with large-scale Data Warehouse (DWH) environments

    •    Experience with data migration projects

    •    Experience working with legacy data systems

    •    Basic knowledge of Linux administration

What we offer

    •    Competitive salary

    •    Participation in an international enterprise project

    •    Participation in a large-scale, national-level government project

    •    Business trips to Oman or partial relocation for on-site collaboration with the client and project team

    •    Accommodation provided

    •    Transportation cost compensation

Kyivstar is looking for Azure Data Engineer (Developer) to drive different life cycles of large systems. The Data Lifecycle Engineer will have opportunity to help customers realize their full potential through accelerated adoption and productive use of Microsoft Data and AI technologies.

Requirements:

— 3+ years of technical expertise in Database development (preferably with SQL, including Azure SQL) – designing and building database solutions (tables / stored procedures / forms / queries / etc.);

— Business intelligence knowledge with a deep understanding of data structure / data models to design and tune BI solutions;

— Advanced data analytics – designing and building solutions using technologies such as Databricks, Azure Data Factory, Azure Data Lake, HD Insights, SQL DW, stream analytics, machine learning, R server;

— Data formats knowledge and the differences between them;

— Experience with Hadoop stack;

— Experience with RDBMS and/or NoSQL;

— Experience with Kafka;

— Experience with Java and/or Scala and/or Python;

— Knowledge of version control system: git or bitbucket;

— BI Tools experience (PowerBI); 

— Background in test driven development, automated testing and other software engineering best practices (e.g., performance, security, BDD, etc.);

— Docker/Kubernetes paradigm understanding;

— English – strong intermediate;

— Microsoft Certified is a plus.

Responsibility:

— Developing ETL flows based on Azure Cloud stack technology: such as Databricks, Azure Data Factory, Azure Data Lake, HD Insights, SQL DW, stream analytics, machine learning, R server;

— Troubleshooting and performance optimization for data processing flows, data models;

— Build and maintain reporting, models, dashboards.

We offer:

— A unique experience of working the most customers beloved and largest mobile operator in Ukraine;

— Real opportunity to ship digital products to millions of customers;

— To contribute into building the biggest analytical cloud environment in Ukraine;

— To create Big Data/AI products, changing the whole industry and influencing Ukraine;

— To be involved in real Big Data projects with Petabytes of data and Billions of events daily processed in Real-time;  

— A competitive salary;

— Great possibilities for professional development and career growth;

— Medical insurance;

— Life insurance;

— Friendly & Collaborative Environment.

Biosphere Corporation is one of the largest producers and distributors of household, hygiene, and professional products in Eastern Europe and Central Asia (TM Freken BOK, Smile, Selpak, Vortex, Novita, PRO service, and many others). We are inviting an IT Infrastructure Administrator to join our team.

Key responsibilities:

• Administration of Active Directory
• Managing group policies
• Managing services via PowerShell
• Administration of VMWare platform
• Administration of Azure Active Directory
• Administration of Exchange 2016/2019 mail servers
• Administration of Exchange Online
• Administration of VMWare Horizon View

We offer:

• Interesting projects and tasks
• Competitive salary (discussed during the interview)
• Convenient work schedule: Mon–Fri, 9:00–18:00; partial remote work possible
• Official employment, paid vacation, and sick leave
• Probation period — 2 months
• Professional growth and training (internal training, reimbursement for external training programs)
• Discounts on Biosphere Corporation products
• Financial assistance (in cases of childbirth, medical treatment, force majeure, or circumstances caused by wartime events, etc.)

Office address: Dnipro, Zaporizke Highway 37 (Right Bank, Topol-1 district).

Learn more about Biosphere Corporation, our strategy, mission, and values at:
http://biosphere-corp.com/
https://www.facebook.com/biosphere.corporation/

Join our team of professionals!

By submitting your CV for this vacancy, you consent to the use of your personal data in accordance with the current legislation of Ukraine.
If your application is successful, we will contact you within 1–2 business days.

We are looking for an experienced AEP / AJO Engineer / Developer / Specialist / Consultant to join our team and work on customer data and real-time personalization solutions for international clients.

This role sits at the intersection of data engineering, marketing technology, and customer experience, with a strong focus on building and maintaining data flows and activating data through journeys.

You will be working with Adobe Experience Platform (AEP) and Adobe Journey Optimizer (AJO) in production environments.

Responsibilities

• Design and implement data ingestion pipelines (batch & streaming) into AEP
• Configure and maintain XDM schemas, datasets, and identity resolution
• Work with Real-Time Customer Profile and ensure data consistency across sources
• Build and optimize audiences and segmentation logic
• Implement and maintain event-driven customer journeys in AJO
• Integrate AEP with external systems via REST APIs and streaming mechanisms
• Troubleshoot and resolve issues related to data flows, latency, and activation
• Collaborate with data, marketing, and product teams to deliver scalable solutions

Requirements

• 2+ years of hands-on experience with AEP and AJO
• Strong understanding of data engineering concepts (ETL/ELT, streaming, pipelines)
• Experience with data modeling (preferably XDM or similar schema systems)
• Solid SQL skills (data validation, segmentation logic, troubleshooting)
• Experience working with APIs, JSON, and integrations
• Understanding of event-driven architectures

Nice to have

• Experience with:
  • Adobe Analytics
  • Adobe Target
  • Adobe Campaign
• Experience with cloud platforms (AWS / Azure / GCP)
• Familiarity with tag management tools like Adobe Launch
• Experience with other CDPs (e.g. Salesforce Data Cloud, Segment)
• Basic scripting (JavaScript / Python)

What we’re looking for

• Strong ownership and ability to work independently
• Attention to data quality and system reliability
• Ability to bridge business requirements and technical implementation
• Experience working in distributed teams

What we offer

• B2B full-time/part-time collaboration model
• Remote-first setup
• Collaborative and supportive team environment
• Opportunity to work with international, well-known clients in distributed teams, building solutions on a modern data & marketing technology stack
• Be part of a highly specialized and fast-growing domain, building expertise in a niche area 

Interested in joining our team?

If this opportunity sounds interesting to you and you’d like to be part of our growing team — feel free to share your CV along with your expected rate.

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We are seeking a proactive Data Engineer with at least 3 years of experience to join our engineering team. You will be responsible for the full lifecycle of data-driven applications, from building robust backend APIs to designing and maintaining complex data pipelines. The ideal candidate thrives in a DevOps-cultured environment and is eager to work with modern orchestration and cloud technologies.

Core Responsibilities:

— Data Pipeline Management: Develop, optimize, and maintain scalable data pipelines to ensure high-quality data flow.

— API Development: Build and maintain high-performance backend APIs using FastAPI.

— System Reliability: Proactively identify bottlenecks and improve system stability within existing infrastructures.

— Collaboration: Work closely with cross-functional teams to integrate AWS services and workflow orchestration tools into the production environment.

Required Qualifications:

— 3+ years of professional Python experience.

— Databases: Strong proficiency in both SQL and NoSQL database design and management.

— DevOps Tools: Hands-on experience with Docker, CI/CD pipelines, and Git version control.

— Frameworks: Proven experience building applications with FastAPI.

— Cloud & Orchestration: Practical experience with AWS services and familiarity with Airflow (or similar workflow orchestration tools).

— Communication: Upper-Intermediate level of English (written and spoken) for effective team collaboration.

Preferred Skills (Nice to Have):

— Experience within the Financial Domain.

— Hands-on experience with Apache Spark and complex ETL pipelines.

— Knowledge of container orchestration using Kubernetes.

— Exposure to or interest in Large Language Models (LLMs) and AI integration.

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.

We’re looking for an experienced Data Engineer to build and scale the data infrastructure behind a fast-growing online education platform. This is a hands-on role with significant ownership, where you’ll play a key part in transforming raw data into actionable insights that drive business decisions and improve user experience.

You’ll work closely with a small, collaborative team of 5 people and operate as an independent contributor—selecting tools, designing systems, and ensuring everything runs efficiently. We embrace modern technologies, including AI tools, and continuously integrate them into our workflows.

What to do:

• Design, build, and maintain scalable data pipelines (ETL/ELT)
• Develop and manage data infrastructure for analytics and reporting
• Organize and structure data for easy access and usability
• Enable real-time or near-real-time insights for marketing, sales, and customer success teams
• Ensure data quality, reliability, and performance across systems
• Collaborate with cross-functional teams to understand data needs and deliver solutions
• Take ownership of the data ecosystem, from architecture to optimization

Expected experience:

• 4+ years of experience in Data Engineering or a similar role
• Strong proficiency in Python
• Hands-on experience with ETL/ELT pipelines
• Experience working with NoSQL databases
• Solid understanding of data modeling and data architecture
• Experience building scalable and reliable data systems
• Comfortable working independently in a startup environment

Will be a plus:

• Experience with modern data stack tools (e.g., Airflow, dbt, Snowflake, BigQuery)
• Familiarity with real-time data processing and streaming technologies
• Experience integrating or working with AI/ML tools in data workflows
• Knowledge of cloud platforms (AWS, GCP, or Azure)
• Background in analytics for product, marketing, or customer success teams

What we offer:

• Great team and excellent environment, that will help you to improve your soft skills;

• Flexible working schedule. We respect your personal time;

• Paid vacations, sick leaves;

• Bookkeeping and accounting will be maintained by the professional accountant;

• Educational opportunities;

Interview Stages:

1. Interview with Head of HR 
2. Interview with CEO and CTO
3. Interview with the client

We are looking for a System Administrator / Web Infrastructure Engineer to support and maintain the technical infrastructure of our web projects in the iGaming / affiliate marketing space.

This role is focused on domain management, website availability, Cloudflare configuration, server support, and web security. You will work closely with marketing and product teams to ensure that our websites, mirrors, and landing pages remain stable, secure, and accessible.

Responsibilities

• Administer and maintain domain infrastructure across multiple projects
• Configure and support Cloudflare, including:
  • DNS
  • CDN
  • WAF
  • SSL
  • firewall and security rules
  • caching and traffic protection settings
• Set up and maintain website mirrors and domain rotation
• Monitor website availability and quickly respond to downtime, blocking, or infrastructure issues
• Manage domains through registrars such as GoDaddy, Namecheap, and similar providers
• Implement and maintain website protection measures, including anti-DDoS, firewall rules, and basic anti-bot solutions
• Support hosting environments, VPS, and server-side configurations
• Work with Linux-based servers, web servers, and hosting providers
• Create, deploy, and support simple websites and pre-landing pages using WordPress or similar CMS platforms
• Maintain basic technical SEO settings, including:
  • meta tags
  • robots.txt
  • sitemap
  • canonical tags
• Provide technical support for affiliate and marketing websites
• Ensure overall stability, security, and availability of web infrastructure

Requirements

• Hands-on experience as a System Administrator, Web Infrastructure Engineer, or similar role
• Strong practical experience with Cloudflare
• Solid understanding of:
  • DNS
  • WAF
  • SSL
  • caching
  • firewall/security settings
• Experience managing domains, DNS zones, and website mirrors
• Experience with hosting providers, VPS environments, and server administration
• Good understanding of website security and protection practices
• Experience with WordPress or similar CMS platforms
• Basic understanding of technical SEO
• Ability to troubleshoot infrastructure and website availability issues quickly and independently

Nice to Have

• Experience in iGaming, affiliate, or betting projects
• Experience with Cloudflare advanced security features, anti-bot rules, and traffic filtering
• Experience with Linux, Nginx, and server infrastructure
• Experience with large-scale domain management
• Understanding of web tracking, redirect chains, and landing page infrastructure

Role Overview

In this position, you will be responsible for:

• ensuring the stability and availability of websites
• administering domain and DNS infrastructure
• maintaining web security and traffic protection
• supporting hosting, VPS, and server-side setup
• providing technical support for landing pages, mirrors, and affiliate websites

About the Role
 

Company domain - automotive industry.
We are looking for Data Engineers to join a managed service team delivering modern data products.
 

The role is focused on hands-on implementation under defined standards and senior guidance. You will contribute to building data products, ensuring quality and compliance with established frameworks.
 

Responsibilities
 

• Implement pipelines and data transformations
• Build analytical and source-aligned data products
• Follow established standards (data contracts, modeling patterns, testing strategies)
• Work in cross-functional domain teams
• Participate in pair-programming and knowledge transfer
• Support monitoring and operational excellence of delivered data products
   

Required Technical Stack
 

Mandatory experience with:
 

• AWS
• Azure
• Snowflake
• dbt
• Witboost
• Dreamio
• Modern ELT/ETL practices
• CI/CD in data environments
• Automated testing for data pipelines
   

Required Experience
 

• 1–3 years in Data Engineering
• Previous assignments delivering pipelines and data products
• Familiarity with Data Mesh
• Basic understanding of DataOps
• Understanding of governance, lineage, SLAs
• Comfortable working in Agile cross-functional teams

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 Data Engineer.
 

Project Description:

It is a real-time data processing and analytics solution for a high-traffic web application. 
Tech stack.
AWS: AWS Glue Studio, Redshift, RDS, Airflow, AWS Step Function, Lambda, AWS Kinesis, Athena, Apache Iceberg, AWS Data Brew, S3, OpenSearch, Python, SQL, CI/CD, dbt, Snowflake

 Responsibilities:

• Design a scalable and robust AWS cloud architecture;
• Utilize AWS Kinesis for real-time data streaming and aggregation;
• Implemente AWS Lambda for serverless data processing, reducing operational costs;
• Configured AWS RDS (Relational Database Service) for structured data storage and AWS DynamoDB for NoSQL requirements;
• Ensured data security and compliance with AWS IAM (Identity and Access Management) and encryption services;
• Developed and deployed data pipelines using AWS Glue for ETL processes;
• Wrote Python scripts and SQL queries for data transformation and loading;
• Set up continuous integration and continuous deployment (CI/CD) pipelines using AWS CodePipeline and CodeBuild;
• Monitored system performance and data quality using AWS CloudWatch and custom logging solutions;
• Collaborated with other teams to integrate data sources and optimize data flow;
• Achieve a highly scalable real-time data processing system, resulting in a 40% increase in data analysis efficiency and a significant reduction in operational costs.
• Build ETL pipelines from S3 to AWS OpenSearch by AWS Glue
• Upper-Intermediate or higher English level.

Since 2001, FutureLog has been creating and developing digital procure-to-pay solutions for the hospitality and gastronomy industries.  We are a world-class procurement management platform serving over 10,000 clients across 20+ countries, delivering near real-time reporting with complex data models and advanced permission structures. 

We are looking for a highly skilled Data Engineer (Azure) to design and build the next generation of our high-load data platform. 

The primary goal of this role is to architect and implement a modern, scalable data pipeline based on Microsoft Fabric and Azure technologies (or other relevant solutions) to significantly enhance the performance, scalability, and speed of our current Power BI environment, which is built on MS SQL Managed Instance and SQL-based queries. 

This is a high-impact engineering role focused on platform modernization and long-term data architecture evolution. 

Key Responsibilities 

• Design and implement next-generation high-load data pipelines using Microsoft Fabric and Azure services 
• Optimize and modernize the current MS SQL Managed Instance-based architecture 
• Improve Power BI performance, scalability, and near real-time capabilities 
• Design and implement scalable Lakehouse / Data Warehouse architectures 
• Build and optimize ETL / ELT processes 
• Ensure data quality, reliability, monitoring, and governance 
• Design data models that support complex reporting and permission structures 
• Collaborate closely with BI engineers, product managers, and infrastructure teams 
• Contribute to architectural decisions and technical roadmap planning 
• Support migration from legacy SQL-based architecture to modern Azure-based solutions 
  
  
  Must-Have Skills & Experience  
• Strong hands-on experience with Azure data services including Microsoft Fabric, Azure Data Factory, and Event Hub 
• Deep expertise in designing and optimizing high-load and distributed data pipelines, including Apache Spark processing 
• Strong experience with MS SQL and PostgreSQL, including performance tuning and query optimization 
• Experience designing modern Lakehouse, Data Warehouse, and hybrid data architectures using Fabric or similar platforms 
• Hands-on experience with ETL / ELT development using orchestration and transformation tools such as dbt; experience with Apache Airflow is highly desirable 
• Strong practical knowledge of CDC implementation using tools such as Debezium and integration with streaming or near real-time ingestion pipelines 
• Solid understanding of Power BI architecture, including performance optimization, Gateway configuration, embedding scenarios, and Row-Level Security (custom and Active Directory-based) 
• Experience working with large-scale datasets and complex access control and permission models 
• Experience deploying and managing containerized data workloads using Docker and Kubernetes in cloud-native environments 
• Strong analytical thinking, data modeling, and system design capabilities 

• Fluent English (written and verbal communication) 

   

  Nice to Have 

• Experience migrating legacy SQL environments to modern Azure-based platforms 
• Experience with near real-time or streaming data processing 
• Knowledge of CI/CD for data engineering workflows 
• Experience working in high-scale SaaS platforms 
  
  What We Offer 
• Opportunity to build and shape a next-generation Azure data platform 
• High ownership and architectural impact 
• Work on a global system serving thousands of enterprise customers 
• Collaboration with strong BI, product, and engineering teams 
• A dynamic and international working environment 
  20 working days of paid holidays. 
• Paid sick leaves. 
• All necessary equipment for work. 
• Flexible working hours. 

• 300 EUR Wellness compensation annually (can be used for health insurance, education, gym, sports activities, etc.). 

   

We are seeking an experienced Data Engineer with deep expertise in Databricks to design, build, and maintain scalable data pipelines and analytics solutions. This role requires at least 5 years of hands-on experience in data engineering with a strong focus on the Databricks platform. 

Enterprise platform for bank account validation services, helping businesses verify account details and  
reduce fraud.
 

Key Responsibilities:
 

- Data Pipeline Development & Management 

• Design and implement robust, scalable ETL/ELT pipelines using Databricks and Apache Spark 
• Process large volumes of structured and unstructured data 
• Develop and maintain data workflows using Databricks workflows, Apache Airflow, or similar orchestration tools 
• Optimize data processing jobs for performance, cost efficiency, and reliability 
• Implement incremental data processing patterns and change data capture (CDC) mechanisms 
   

- Databricks Platform Engineering 

• Build and maintain Delta Lake tables and implement medallion architecture (bronze, silver, gold layers) 
• Develop streaming data pipelines using Structured Streaming and Delta Live Tables 
• Manage and optimize Databricks clusters for various workloads 
• Implement Unity Catalog for data governance, security, and metadata management 
• Configure and maintain Databricks workspace environments across development, staging, and production 
   

- Data Architecture & Modeling 

• Design and implement data models optimized for analytical workloads 
• Create and maintain data warehouses and data lakes on cloud platforms (Azure, AWS, or GCP) 
• Implement data partitioning, indexing, and caching strategies for optimal query performance 
• Collaborate with data architects to establish best practices for data storage and retrieval patterns 
   

- Performance Optimization & Monitoring 

• Monitor and troubleshoot data pipeline performance issues 
• Optimize Spark jobs through proper partitioning, caching, and broadcast strategies 
• Implement data quality checks and automated testing frameworks 
• Manage cost optimization through efficient resource utilization and cluster management 
• Establish monitoring and alerting systems for data pipeline health and performance 
   

- Collaboration & Best Practices 

• Work closely with data scientists, analysts, and business stakeholders to understand data requirements 
• Implement version control using Git and follow CI/CD best practices for code deployment 
• Document data pipelines, data flows, and technical specifications 
• Mentor junior engineers on Databricks and data engineering best practices 
• Participate in code reviews and contribute to establishing team standards 
   

Required Qualifications:
 

- Experience & Skills 

• 5+ years of experience in data engineering with hands-on Databricks experience 
• Strong proficiency in Python and/or Scala for Spark application development 
• Expert-level knowledge of Apache Spark, including Spark SQL, DataFrames, and RDDs 
• Deep understanding of Delta Lake and Lakehouse architecture concepts 
• Experience with SQL and database optimization techniques 
• Solid understanding of distributed computing concepts and data processing frameworks 
• Proficiency with cloud platforms (Azure, AWS, or GCP) and their data services 
• Experience with data orchestration tools (Databricks Workflows, Apache Airflow, Azure Data Factory) 
• Knowledge of data modeling concepts for both OLTP and OLAP systems 
• Familiarity with data governance principles and tools like Unity Catalog 
• Understanding of streaming data processing and real-time analytics 
• Experience with version control systems (Git) and CI/CD pipelines 
   

Preferred Qualifications:
 

• Databricks Certified Data Engineer certification (Associate or Professional) 
• Experience with machine learning pipelines and MLOps on Databricks 
• Knowledge of data visualization tools (Power BI, Tableau, Looker) 
• Experience with infrastructure as code (Terraform, CloudFormation) 
• Familiarity with containerization technologies (Docker, Kubernetes) 

Do you know that your professional skills can ensure the liquidity of a cryptocurrency exchange?
We are looking for a Data Engineer with ETL/ELT for the Spanish office of the most famous Ukrainian company.

Working with big data, strong team, assistance with family relocation, TOP conditions.

Main Responsibilities

— Design, build, and maintain scalable and resilient data pipelines (batch and real-time)
— Develop and support data lake/data warehouse architectures
— Integrate internal and external data sources/APIs into unified data systems
— Ensure data quality, observability, and monitoring of pipelines
— Collaborate with backend and DevOps engineers on infrastructure and deployment
— Optimize query performance and data processing latency across systems
— Maintain documentation and contribute to internal data engineering standards
— Implement data access layers and provide well-structured data for downstream teams

Mandatory Requirements

— 3+ years of experience as a Data Engineer in high-load or data-driven environments
— Proficient in Python for data processing and automation (pandas, pyarrow, sqlalchemy, etc.)
— Advanced knowledge of SQL: query optimization, indexes, partitions, materialized views
— Hands-on experience with ETL/ELT orchestration tools (e.g., Airflow, Prefect)
— Experience with streaming technologies (e.g., Kafka, Flink, Spark Streaming)
— Solid background in data warehouse solutions: ClickHouse, BigQuery, Redshift, or Snowflake
— Familiarity with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code principles
— Experience with containerization and deployment tools (e.g., Docker, Kubernetes, CI/CD)
— Understanding of data modeling, data versioning, and schema evolution (e.g., dbt, Avro, Parquet)
— English — at least intermediate (for documentation & communication with tech teams)

We offer

Immerse yourself in Crypto & Web3:
— Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
— Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
— Gain unique experience and be part of global transformations.
Drive Innovations:
— Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
— Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
— Modern equipment.
— Comfortable working conditions, and an inspiring environment to help you thrive.
— 30 calendar days of paid leave.
— Additional days off for national holidays.

With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career!
 

We're looking for a Senior Data Engineer who thrives at the intersection of cloud architecture and business-critical data pipelines. You'll design and own scalable data solutions across Microsoft Fabric and Azure, working with modern analytical patterns that power real decisions.
 

Professional Experience:

• 5+ years of hands-on experience in data engineering and architecture, with a focus on cloud-native ecosystems.
• Microsoft Fabric & Azure Expertise: Deep technical knowledge of Microsoft Fabric (OneLake, Lakehouse, Warehouse), Azure SQL Database, and SQL Managed Instances.
• Multi-Platform Proficiency: Practical experience with at least one additional major cloud data platform: Snowflake or Databricks.
• Advanced SQL Engineering: Expert-level mastery of SQL and SQL Stored Procedures for complex business logic, performance tuning, and database administration.
• Data Architecture: Proven track record implementing Medallion Architecture (Bronze, Silver, Gold) and Star Schemas for analytical reporting.
• Bi-Temporal Data Logic: Experience designing systems that handle bi-temporal data (tracking both valid time and transaction time) to maintain historical accuracy.
• ETL/ELT Pipeline Development: Expert in pulling data into Azure Landing Zones, including:
• Implementing robust watermarking and incremental loading patterns.
• Data deduplication, cleansing, and schema enforcement.
• Promoting data from landing to a refined Silver layer.
• BI Connectivity: Experience configuring and optimizing data sources for Excel, Power BI (including DirectLake), and Tableau.

Working Arrangement: European time zone, part-time or full-time, engaged via a contractor's agreement.