Company Background

Our client is a global technology company transforming the advertising landscape by enabling advertisers, agencies, publishers, and broadcasters to leverage advanced data and modern TV technologies. Their unified technology stack includes a demand-side platform (DSP), a supply-side platform (SSP), and a robust data platform that supports scalable advertising solutions. With an international presence and a culture of flexibility and innovation, they are building a world-class engineering organization.

Project Description

As part of the DevOps team, you will be embedded within one or more software engineering teams to deliver infrastructure and operational support. You’ll take ownership of delivering scalable, automated systems and services. Your work will help bridge the gap between development and operations, ensuring reliable, secure, and performant infrastructure across a modern microservices architecture. You’ll be expected to operate infrastructure in AWS, build CI/CD pipelines, monitor performance, troubleshoot complex issues, and support both development teams and live production systems.

Technologies

• Linux
• AWS
• Chef
• Ansible
• Terraform
• Bash
• Python
• Ruby
• Bamboo
• Kubernetes
• REST APIs
• Microservices
• Prometheus
• InfluxDB
• Nagios
• ELK
• Zookeeper
• Consul
• Spark
• Hive
• EMR
• Couchbase

What You'll Do

• Contribute to the design and implementation of infrastructure solutions with a strong focus on automation and scalability;
• Operate, monitor, and troubleshoot infrastructure in large-scale production environments;
• Support developers with deployment, observability, and reliability tooling;
• Develop scripts and automation tools for monitoring, incident response, and infrastructure tasks;
• Collaborate across engineering and business teams to maintain operational excellence;
• Maintain system documentation, deployment procedures, and best practices;
• Proactively identify performance bottlenecks and implement tuning strategies;

Job Requirements

• 3+ years of experience in DevOps roles supporting large-scale production environments;
• Expertise with AWS;
• Strong Linux skills, with advanced knowledge of system internals and networking;
• Knowledge of Victoria Metrics, Click House, and Grafana;
• Hands-on experience with infrastructure-as-code tools like Chef, Terraform, or Ansible;
• Proficiency in scripting languages such as Bash, Python, or Ruby;
• Experience with Kubernetes and container orchestration;
• Familiarity with monitoring tools like Prometheus, Nagios, or InfluxDB;
• Experience with CI/CD practices and tools;
• English: B1+ level (spoken and written);

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Internal startup incubator;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is a company that delivers integrated software and tools for the agricultural business. As part of a leading global software group, the company supports the diversified grain industry and agricultural co-ops with best-in-class solutions covering business management, commodity management, agronomy, trading, patronage, and analytics.

Project Description

Own the end‑to‑end data flow for Data Analytics Platform (DAP). You will ingest XML data from AGRIS Web Services into Azure Blob Storage, orchestrate event‑driven transformation pipelines via Azure Functions and Databricks Jobs, model data using dbt on Databricks (medallion architecture: bronze → silver → gold), and deliver analytics‑ready datasets to Azure SQL Database and Luzmo. You'll also maintain multi‑tenant data isolation, automate deployments, and keep the platform performant and cost‑efficient.

Technologies

• Microsoft Azure
• Azure Blob Storage / ADLS Gen2
• Databricks (Delta Lake, PySpark, SQL Warehouses)
• dbt (dbt-databricks + dbt-sqlserver)
• Azure Functions (Python)
• Azure Event Grid
• Azure SQL Database
• Azure Key Vault
• Luzmo

What You'll Do

• Maintain and support Azure Functions pipelines (Event Grid → Databricks Jobs);
• Build and optimize Databricks notebooks for XML parsing and Parquet landing in DBFS/ADLS;
• Manage Auto Loader and incremental data ingestion processes;
• Design and maintain dbt models across medallion layers (bronze COPY INTO, silver current‑changes, gold incremental merge, staging/CDC to Azure SQL);
• Write custom macros and ensure data quality with dbt tests;
• Optimize schemas, indexes, and CDC merge pipelines in Azure SQL Database;
• Manage analytical views, RBAC roles, and Luzmo integration for BI consumers;
• Maintain tenant‑scoped DBFS mounts and data isolation;
• Configure backup, storage tiering, and define RPO/RTO targets, monitor pipeline health;
• Automate deployments using CI/CD tools (e.g., GitHub Actions);
• Implement monitoring, alerting, and optimize infrastructure and compute costs in Azure and Databricks;

Job Requirements

• 5+ years designing and building data solutions on Microsoft Azure;
• 2+ years with Databricks (Delta Lake, PySpark, SQL Warehouses);
• Strong experience with dbt (data build tool): incremental models, custom macros, multi‑adapter setups (Databricks + SQL Server);
• Expert‑level SQL skills: Databricks SQL for Delta Lake transformations and T‑SQL for Azure SQL Database performance tuning;
• Hands‑on experience with Azure Functions (Python) and event‑driven architectures (Azure Event Grid, Blob Storage triggers);
• Familiarity with medallion architecture patterns (bronze/silver/gold) and CDC (Change Data Feed) pipelines;
• Working knowledge of XML data parsing/ingestion at scale (PySpark XML processing);
• Strong understanding of Azure security fundamentals (Key Vault, RBAC, managed identities);
• Experience with multi‑tenant data platform design and tenant‑scoped data isolation;
• English level: B1+ (Intermediate) or higher;

Nice to Have

• Microsoft Certified: Azure Data Engineer Associate (DP‑203) or Databricks Data Engineer Associate;
• Experience with IaC (Bicep or Terraform) and CI/CD (GitHub Actions);
• Familiarity with BI platforms, particularly Luzmo, for provisioning datasets and self‑service reporting;
• Knowledge of Python for Databricks notebooks, Azure Functions, and utility scripts;
• Experience with cost‑governance / FinOps in Azure and Databricks;
• Exposure to SQLFluff or similar SQL linting/quality tools;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Define and enforce best practices and coding standards across the project
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Working both independently and in close collaboration with others in the team
• Communicating clear instructions to team members and helping manage the flow of day-to-day operations
• Communicating with the client regularly 
• Design, develop, and maintain robust and scalable Spark applications
• Write clean, maintainable, and efficient code following best practices and coding standards
• Optimize code for performance and scalability, ensuring efficient data handling
• Work closely with cross-functional teams to deliver high-quality software solutions
• Identify and resolve technical issues, ensuring the reliability and performance of applications
• Create and maintain comprehensive documentation for code, processes, and workflows

What You Bring

• 5+ years of hands-on experience in software development
• Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
• Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
• Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
• Proven expertise in data processing, analysis, and transformation workflows
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
• Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
• Solid understanding of microservices architecture and its implementation in scalable systems

Nice to Have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with FastAPI
• Expertise in containerization and orchestration tools such as Docker and Kubernetes

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply! 

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Define and enforce best practices and coding standards across the project
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Working both independently and in close collaboration with others in the team
• Communicating clear instructions to team members and helping manage the flow of day-to-day operations
• Communicating with the client regularly 
• Design, develop, and maintain robust and scalable Spark applications
• Write clean, maintainable, and efficient code following best practices and coding standards
• Optimize code for performance and scalability, ensuring efficient data handling
• Work closely with cross-functional teams to deliver high-quality software solutions
• Identify and resolve technical issues, ensuring the reliability and performance of applications
• Create and maintain comprehensive documentation for code, processes, and workflows

What You Bring

• 5+ years of hands-on experience in software development
• Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
• Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
• Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
• Proven expertise in data processing, analysis, and transformation workflows
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
• Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
• Solid understanding of microservices architecture and its implementation in scalable systems

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with FastAPI
• Expertise in containerization and orchestration tools such as Docker and Kubernetes

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Why Join Exadel 

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client  

The health and fitness software and payment processing provider in the United States, Puerto Rico, Canada, and Mexico. Founded in 1981, they currently work with 7,000+ health clubs. Customer offerings include payment processing and gym management solutions that allow managers to track memberships and schedules and automate payment processing functions.

Project Team 

Team composition: 4 Senior Data Engineers, 1 Project Manager, 1 Business Analyst, 1 QA Engineer, and 2 BI Engineers.

Project Tech Stack 

Main Tech Stack: Databricks (Spark, Delta Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL.

What You’ll Do

• Design and implement scalable data pipelines and lakehouse architectures using Databricks (Delta Lake, Spark)
• Execute migration from Azure Synapse to Databricks, ensuring performance, and reliability improvements
• Develop and optimize Databricks Data Warehouse for analytics and BI workloads
• Build and maintain semantic models to support enterprise reporting and self-service analytics
• Partner with analytics and business teams to deliver high-quality Power BI datasets and dashboards
• Write, optimize, and tune complex SQL queries for large-scale analytical workloads
• Ensure data quality, reliability, and governance across the analytics platform
• Contribute to architecture decisions, best practices, and standards for data engineering

What You Bring

• 5+ years of experience in data engineering or analytics engineering roles
• Strong hands-on experience with Databricks (Spark, SQL)
• Advanced SQL skills, including performance tuning and query optimization
• Experience migrating data platforms, ideally Azure Synapse → Databricks
• Experience with Power BI, including dataset modeling
• Strong understanding of Kimball Data Warehousing approach, star schemas, and analytics best practices
• Experience working with cloud data platforms

English level 

Upper-Intermediate

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Project Description

We are looking for an experienced Data Engineer with deep expertise in Databricks to join our advanced analytics and data engineering team. The ideal candidate will play a key role in designing, building, and optimizing large-scale data solutions on the Databricks platform, supporting business intelligence, advanced analytics, and machine learning initiatives. You will collaborate with cross-functional teams to deliver robust, scalable, and high-performance data pipelines and architectures.

Technologies

• Databricks (including Spark, Delta Lake, MLflow)
• Python/Scala
• SQL
• ETL concepts
• Distributed data processing
• Data warehousing
• Cloud Platforms & Storage

What You'll Do

• Lead the design, development, and deployment of scalable data pipelines and ETL processes using Databricks (Spark, Delta Lake, MLflow);
• Architect and implement data lakehouse solutions, ensuring data quality, governance, and security;
• Optimize data workflows for performance and cost efficiency on Databricks and cloud platforms (Azure, AWS, or GCP);
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights;
• Mentor and guide junior engineers, promoting best practices in data engineering and Databricks usage;
• Develop and maintain documentation, data models, and technical standards;
• Monitor, troubleshoot, and resolve issues in production data pipelines and environments;
• Stay current with emerging trends and technologies in data engineering and Databricks ecosystem;

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
• 5+ years of experience in data engineering, with at least 2 years of hands-on experience with Databricks (including Spark, Delta Lake, and MLflow);
• Strong proficiency in Python and/or Scala for data processing;
• Deep understanding of distributed data processing, data warehousing, and ETL concepts;
• Experience with cloud data platforms (Azure Data Lake, AWS S3, or Google Cloud Storage);
• Solid knowledge of SQL and experience with large-scale relational and NoSQL databases;
• Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for data engineering;
• Experience with data governance, security, and compliance in cloud environments;
• Excellent problem-solving, communication, and leadership skills;
• English: Upper Intermediate level or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Sep 25, 2025 12:50

Why Join Exadel 

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client  

The health and fitness software and payment processing provider in the United States, Puerto Rico, Canada, and Mexico. Founded in 1981, they currently work with 7,000+ health clubs. Customer offerings include payment processing and gym management solutions that allow managers to track memberships and schedules and automate payment processing functions.

Project Team 

Team composition: 4 Senior Data Engineers, 1 Project Manager, 1 Business Analyst, 1 QA Engineer, and 2 BI Engineers.

Project Tech Stack 

Main Tech Stack: Databricks (Spark, Delta Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL.

What You’ll Do

• Design and implement scalable data pipelines and lakehouse architectures using Databricks (Delta Lake, Spark)
• Execute migration from Azure Synapse to Databricks, ensuring performance, and reliability improvements
• Develop and optimize Databricks Data Warehouse for analytics and BI workloads
• Build and maintain semantic models to support enterprise reporting and self-service analytics
• Partner with analytics and business teams to deliver high-quality Power BI datasets and dashboards
• Write, optimize, and tune complex SQL queries for large-scale analytical workloads
• Ensure data quality, reliability, and governance across the analytics platform
• Contribute to architecture decisions, best practices, and standards for data engineering

What You Bring

• 5+ years of experience in data engineering or analytics engineering roles
• Strong hands-on experience with Databricks (Spark, SQL)
• Advanced SQL skills, including performance tuning and query optimization
• Experience migrating data platforms, ideally Azure Synapse → Databricks
• Experience with Power BI, including dataset modeling
• Strong understanding of Kimball Data Warehousing approach, star schemas, and analytics best practices
• Experience working with cloud data platforms

English level 

Upper-Intermediate

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply! 

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Define and enforce best practices and coding standards across the project
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Working both independently and in close collaboration with others in the team
• Communicating clear instructions to team members and helping manage the flow of day-to-day operations
• Communicating with the client regularly 
• Design, develop, and maintain robust and scalable Spark applications
• Write clean, maintainable, and efficient code following best practices and coding standards
• Optimize code for performance and scalability, ensuring efficient data handling
• Work closely with cross-functional teams to deliver high-quality software solutions
• Identify and resolve technical issues, ensuring the reliability and performance of applications
• Create and maintain comprehensive documentation for code, processes, and workflows

What You Bring

• 5+ years of hands-on experience in software development
• Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
• Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
• Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
• Proven expertise in data processing, analysis, and transformation workflows
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
• Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
• Solid understanding of microservices architecture and its implementation in scalable systems

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with FastAPI
• Expertise in containerization and orchestration tools such as Docker and Kubernetes

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply! 

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Define and enforce best practices and coding standards across the project
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Working both independently and in close collaboration with others in the team
• Communicating clear instructions to team members and helping manage the flow of day-to-day operations
• Communicating with the client regularly 
• Design, develop, and maintain robust and scalable Spark applications
• Write clean, maintainable, and efficient code following best practices and coding standards
• Optimize code for performance and scalability, ensuring efficient data handling
• Work closely with cross-functional teams to deliver high-quality software solutions
• Identify and resolve technical issues, ensuring the reliability and performance of applications
• Create and maintain comprehensive documentation for code, processes, and workflows

What You Bring

• 5+ years of hands-on experience in software development
• Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
• Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
• Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
• Proven expertise in data processing, analysis, and transformation workflows
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
• Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
• Solid understanding of microservices architecture and its implementation in scalable systems

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with FastAPI
• Expertise in containerization and orchestration tools such as Docker and Kubernetes

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Join Exadel as a Senior Power BI Engineer and bring logic to life. Solve analytical challenges and build solutions that matter—with a sharp, collaborative team.

Why Join Exadel 

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client  

Our client is a leading health and fitness software provider, supporting over 7,000 clubs across the U.S., Puerto Rico, Canada, and Mexico. Since 1981, they’ve delivered end-to-end gym management and payment solutions—empowering operators to streamline memberships, scheduling, and transactions.

Project Tech Stack 

Main Tech Stack: Databricks (Spark, Delta Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL.

Project Duration  

3-month engagement with the possibility of extension

What You’ll Do

• Design, develop, deploy, and maintain Power BI report solutions
• Сreate new Power BI dashboards
• Сreate dashboards for mobile view
• Write and execute queries upon request for data
• Test products for accuracy prior to deployment
• Continuously improve performance and reliability of reports
• Recommend additional options for reporting and analytics

What You Bring

• 5+ years of experience with Power BI Embedded
• Knowledge of different Power BI capacities
• Understanding of upper size limits for Power BI datasets & best practices to reduce the size of datasets
• Proficiency in Power BI performance with large volumes of data
• Background in Power BI Incremental refresh
• Ability to manage different versions of datasets & reports and promote those through different tiers
• Practice in Power BI API for managing reports & datasets using Powershell
• Skills in building models and reports

English level 

Upper-Intermediate

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Join Exadel as a Senior Power BI Engineer and bring logic to life. Solve analytical challenges and build solutions that matter—with a sharp, collaborative team.

Why Join Exadel 

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client  

Our client is a leading health and fitness software provider, supporting over 7,000 clubs across the U.S., Puerto Rico, Canada, and Mexico. Since 1981, they’ve delivered end-to-end gym management and payment solutions—empowering operators to streamline memberships, scheduling, and transactions.

Project Tech Stack 

Main Tech Stack: Databricks (Spark, Delta Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL.

Project Duration  

3-month engagement with the possibility of extension

What You’ll Do

• Design, develop, deploy, and maintain Power BI report solutions
• Сreate new Power BI dashboards
• Сreate dashboards for mobile view
• Write and execute queries upon request for data
• Test products for accuracy prior to deployment
• Continuously improve performance and reliability of reports
• Recommend additional options for reporting and analytics

What You Bring

• 5+ years of experience with Power BI Embedded
• Knowledge of different Power BI capacities
• Understanding of upper size limits for Power BI datasets & best practices to reduce the size of datasets
• Proficiency in Power BI performance with large volumes of data
• Background in Power BI Incremental refresh
• Ability to manage different versions of datasets & reports and promote those through different tiers
• Practice in Power BI API for managing reports & datasets using Powershell
• Skills in building models and reports

English level 

Upper-Intermediate

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Join Exadel as a Senior Power BI Engineer and bring logic to life. Solve analytical challenges and build solutions that matter—with a sharp, collaborative team.

Why Join Exadel 

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client  

Our client is a leading health and fitness software provider, supporting over 7,000 clubs across the U.S., Puerto Rico, Canada, and Mexico. Since 1981, they’ve delivered end-to-end gym management and payment solutions—empowering operators to streamline memberships, scheduling, and transactions.

Project Tech Stack 

Main Tech Stack: Databricks (Spark, Delta Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL.

Project Duration  

3-month engagement with the possibility of extension

What You’ll Do

• Design, develop, deploy, and maintain Power BI report solutions
• Сreate new Power BI dashboards
• Сreate dashboards for mobile view
• Write and execute queries upon request for data
• Test products for accuracy prior to deployment
• Continuously improve performance and reliability of reports
• Recommend additional options for reporting and analytics

What You Bring

• 5+ years of experience with Power BI Embedded
• Knowledge of different Power BI capacities
• Understanding of upper size limits for Power BI datasets & best practices to reduce the size of datasets
• Proficiency in Power BI performance with large volumes of data
• Background in Power BI Incremental refresh
• Ability to manage different versions of datasets & reports and promote those through different tiers
• Practice in Power BI API for managing reports & datasets using Powershell
• Skills in building models and reports

English level 

Upper-Intermediate

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. 

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

About the role

You'll join one of several teams building the low-level systems behind CAST AI's multi-cloud automation platform. The work sits at the intersection of Kubernetes, cloud infrastructure, and Linux.

Depending on your strengths, you'll work in one of these areas:

• Cluster and node lifecycle - custom node bootstrapping across AWS, GCP, and Azure. Controllers and operators managing full node lifecycle. Bridging the gap between autoscaler decisions and running VMs - including working around limitations of managed Kubernetes platforms like EKS, GKE, and AKS.
• Cross-cloud provisioning - orchestrating infrastructure across regions and clouds. Workflow orchestration, provisioning integrations, networking and identity across cloud boundaries.
• Live container migration - zero-downtime relocation of running containers using CRIU checkpoint/restore, custom CRI-O and runc forks, and forked cloud CNI plugins. Memory page transfer, TCP session migration, process-level checkpoint/restore. Kernel-level Linux engineering applied to Kubernetes.
• Storage optimization - dynamic volume rightsizing, BtrFS compression, custom CSI drivers. Full storage stack from cloud disk APIs through filesystem internals to Kubernetes PV/PVC lifecycle.

Common across all teams: Go, deep Kubernetes, multi-cloud, building beyond what the ecosystem offers.

How we build

We invest heavily in agentic development and AI-powered tooling. Engineers work with code agents and automated workflows daily. We expect you to shape how these tools evolve.

Requirements:

• Strong backend fundamentals and production-grade coding, preferably Go.
• Hands-on Kubernetes internals, cloud infrastructure, or large-scale distributed systems experience.
• Clear English communication, collaborative and self-directed.
• Bias toward action and ownership.

What would make you stand out

• Deep knowledge of EKS, GKE, or AKS internals.
• Low-level Linux experience: process internals, networking (NAT, iptables, conntrack, SDN), filesystems, storage.
• Kubernetes or cloud-native OSS contributions.
• Cloud storage depth - block storage, CSI, volume management, filesystem internals.
• Container runtime experience (CRI-O, runc, containerd) or CRIU.
• Experience with AI coding agents and agentic development workflows.
• Comfort building where there's no playbook.

Responsibilities:

• Design, build, and operate backend services, Kubernetes operators, and controllers in Go across AWS, GCP, and Azure.
• Solve infrastructure-layer problems — networking, scheduling, storage, compute, or container runtime internals.
• Build and maintain high-throughput services (gRPC/REST) and async orchestration workflows.
• Shape public and internal APIs.
• Leverage and improve AI-powered development workflows.
• Participate in design reviews, code reviews, on-call, and customer deep-dives.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

Why Kimchi?

Kimchi is the AI platform inside CAST AI. We started by helping companies run LLMs on their own Kubernetes clusters - now we're building the execution layer where agents do real work.

Our Infrastructure today: multi-model inference (MiniMax, Kimi, GLM-5, Nemotron, DeepSeek) with intelligent routing, an OpenAI-compatible API, and deployment flexibility from our GPUs to your VPC. The inference layer is the foundation. What we're hiring for sits on top of it: coding agents, agent runtimes, orchestration systems, and the reliability engineering that makes them actually finish things.

Tech Stack: TypeScript, Go, Kubernetes, AWS/GCP/Azure, MCP, Prometheus/Grafana/Loki, GitLab CI, ArgoCD.

Why harness engineering matters here
OpenAI and Anthropic ship models. They also ship one harness each - the scaffolding that turns a raw model into something that can plan, execute, recover, and complete work. We ship a different kind of harness: one built for cost-conscious, long-horizon autonomy, running on inference infrastructure we control end-to-end.
A decent model with a great harness beats a great model with a bad harness. We've watched this play out. The gap between what today's models can do and what you see them doing is largely a harness gap - and that gap is where we operate.

What you'll build
The ratchet.
Every time our agent makes a mistake, we engineer a solution so it never makes that mistake again. That means hooks that enforce constraints the model "knows" but forgets: pre-commit lint checks, permission gates, context compaction before the window fills. Success is silent, failures are verbose.

Long-horizon execution.
Our harness is built around spec-driven autonomy: meta-prompting, fresh context per task, worktree-per-slice git strategy, automatic replanning, crash recovery, stuck detection. We're implementing Ralph loops - when the model tries to exit, we intercept and reinject the goal into a fresh context. The agent reads state from disk and continues. Multi-session, multi-day work, without context rot.

Planner/executor splits.
Planning with a reasoning model, executing with a fast one, evaluating with a third. Separating generation from evaluation beats self-verification because agents reliably skew positive when grading their own work.

The harness surface.
CLI, TUI, MCP integration, sandboxed execution, telemetry. Our AGENTS.md is short - every line traces to a specific thing that went wrong. TypeScript on the surface, Go where it matters.

Memory and context.
Moving agents off laptops, giving them state that survives across sessions, managing context so information lands where it's actionable. Compaction, tool-call offloading, progressive skill disclosure.

What makes this different (with receipts)
You've seen the pitch: "we route to the best model." Everyone says that. Here's what we actually have:

• GPU infrastructure we own. Not just an API reseller. From GPU placement across clouds to the inference endpoint your agent calls - we control the cost curve.
• A harness-first thesis. We treat agent failures as configuration problems, not model problems. When we moved from a stock harness to our own, completion rates on internal benchmarks improved by 40%+ on the same model.
• Agents.md that earns every line. No brainstormed rules - every constraint in our system prompt traces to a real failure we saw and fixed.

Requirements:

• You've used AI coding agents in anger. Not demos - real work. You have opinions about Claude Code, Codex, OpenCode, Cursor. You know what it feels like when an agent gets stuck and why.
• Strong TypeScript or Go in production. Comfort moving between them. Our surface is TypeScript; our core is Go.
• You think in harness terms. You read "the agent hallucinated" and your first instinct is to ask what context it was missing, what hook should have caught it, what constraint should exist.
• You drive features end-to-end. Design → build → ship → measure → iterate. We don't have layers that absorb ambiguity for you.

Responsibilities:

• Build and evolve the agent harness - ship hooks, permission gates, and context compaction. Every AGENTS.md constraint traces to a failure you personally diagnosed.
• Own long-horizon execution - multi-session task completion via spec-driven prompting, worktree-per-slice git, Ralph loop recovery, and stuck detection. Completion rate is your metric.
• Architect planner/executor/evaluator pipelines - planning with a reasoning model, execution with a fast one, evaluation with a third. No self-verification.
• Manage agent memory and context - state persistence across sessions, context compaction, tool-call offloading. Zero context rot on multi-day work.
• Own the harness surface - CLI, TUI, MCP integrations, sandboxed execution, telemetry. TypeScript on the surface, Go where it matters.

What success looks like (after 6 months):

• You've shipped at least one major harness feature end-to-end: designed it, built it, measured it, iterated.
• You've added constraints to our AGENTS.md based on failures you personally observed and diagnosed.
• You've improved a measurable reliability metric - completion rate, context efficiency, or cost per successful task.
• You've formed strong opinions about where our harness is load-bearing and where it's dead weight.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience).
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. 

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

We are hiring across multiple teams!

As a Senior Software Engineer, you will have the opportunity to work on different key features of our product. We are currently hiring Senior Software Engineers for the following teams:

- Workload Optimization - Automates workload resource management by dynamically adjusting resource allocations, helping developers significantly reduce costs and improve application reliability.

- Karpenter - The Karpenter team powers the integration between Karpenter and Cast AI, bringing enterprise capabilities to the most popular open source Kubernetes autoscaler. We enhance Karpenter with advanced features that improve application reliability and performance while optimizing costs. By joining the team, you’ll bridge open source innovation with enterprise requirements, directly impacting how organizations run Karpenter at scale.

- Reporting - Builds a scalable reporting system that ingests millions of rows per second into our time-series databases, providing insights into cost savings, workload efficiencies, and Cast AI automation impact.

- Pricing - Drives the synchronization of public and customer cloud resources, availability, and dynamic pricing across all major cloud providers. Empowers autoscaling by leveraging discounts, commitments, and cross-cluster tracking to maximize savings. Provides a reliable source of truth for node pricing, resources, components, discounts, and commitments.

- Autoscaler - Automates Kubernetes node autoscaling to optimize clusters, balance workloads, remove underutilized nodes, and dynamically allocate capacity in real-time, thereby reducing cluster costs by half.

- Identity -  Builds and maintains the trust and access foundation for the entire platform, ensuring every user, service, and workload authenticates and interacts securely and seamlessly at scale.

- Billy -  Powers the critical day-2 operations layer of the platform - from billing and audit trails to notifications and feature flags - ensuring the platform runs reliably, transparently, and at scale for every customer, every day.

Here are some of the tools we use daily:

• Programming Languages: Go
• Cloud & Orchestration: Kubernetes, AWS, GCP, Azure
• Databases & Storage: PostgreSQL, Cloud Object Storage
• Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs
• Observability: Prometheus, Grafana, Loki, Tempo
• CI/CD & GitOps: GitLab CI with ArgoCD.

Requirements:

• Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
• Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) - including real understanding of how compute, networking, and storage work under the hood.
• Understanding of Kubernetes internals - autoscaling and networking.
• You've personally driven a complex project end-to-end.
• Strong debugging, optimization, and performance-tuning skills - including query profiling, index design, and database performance tuning beyond ORM usage.
• You've run observability tooling (Prometheus, Grafana, OpenTelemetry) in production.
• CI/CD and DevOps practices experience.
• Strong English skills, both verbal and written.
• Startup mindset: adaptable, proactive, and comfortable with ambiguity.

Responsibilities:

• Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale.
• Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management.
• Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks).
• Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services.
• Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
• Work with time-series data, cloud provider APIs, and Kubernetes control plane internals.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

Why Join Exadel 

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client  

The health and fitness software and payment processing provider in the United States, Puerto Rico, Canada, and Mexico. Founded in 1981, they currently work with 7,000+ health clubs. Customer offerings include payment processing and gym management solutions that allow managers to track memberships and schedules and automate payment processing functions.

Project Team 

Team composition: 4 Senior Data Engineers, 1 Project Manager, 1 Business Analyst, 1 QA Engineer, and 2 BI Engineers.

Project Tech Stack 

Main Tech Stack: Databricks (Spark, Delta Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL.

What You’ll Do

• Design and implement scalable data pipelines and lakehouse architectures using Databricks (Delta Lake, Spark)
• Execute migration from Azure Synapse to Databricks, ensuring performance, and reliability improvements
• Develop and optimize Databricks Data Warehouse for analytics and BI workloads
• Build and maintain semantic models to support enterprise reporting and self-service analytics
• Partner with analytics and business teams to deliver high-quality Power BI datasets and dashboards
• Write, optimize, and tune complex SQL queries for large-scale analytical workloads
• Ensure data quality, reliability, and governance across the analytics platform
• Contribute to architecture decisions, best practices, and standards for data engineering

What You Bring

• 5+ years of experience in data engineering or analytics engineering roles
• Strong hands-on experience with Databricks (Spark, SQL)
• Advanced SQL skills, including performance tuning and query optimization
• Experience migrating data platforms, ideally Azure Synapse → Databricks
• Experience with Power BI, including dataset modeling
• Strong understanding of Kimball Data Warehousing approach, star schemas, and analytics best practices
• Experience working with cloud data platforms

English level 

Upper-Intermediate

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Why Join Exadel 

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client  

The health and fitness software and payment processing provider in the United States, Puerto Rico, Canada, and Mexico. Founded in 1981, they currently work with 7,000+ health clubs. Customer offerings include payment processing and gym management solutions that allow managers to track memberships and schedules and automate payment processing functions.

Project Team 

Team composition: 4 Senior Data Engineers, 1 Project Manager, 1 Business Analyst, 1 QA Engineer, and 2 BI Engineers.

Project Tech Stack 

Main Tech Stack: Databricks (Spark, Delta Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL.

What You’ll Do

• Design and implement scalable data pipelines and lakehouse architectures using Databricks (Delta Lake, Spark)
• Execute migration from Azure Synapse to Databricks, ensuring performance, and reliability improvements
• Develop and optimize Databricks Data Warehouse for analytics and BI workloads
• Build and maintain semantic models to support enterprise reporting and self-service analytics
• Partner with analytics and business teams to deliver high-quality Power BI datasets and dashboards
• Write, optimize, and tune complex SQL queries for large-scale analytical workloads
• Ensure data quality, reliability, and governance across the analytics platform
• Contribute to architecture decisions, best practices, and standards for data engineering

What You Bring

• 5+ years of experience in data engineering or analytics engineering roles
• Strong hands-on experience with Databricks (Spark, SQL)
• Advanced SQL skills, including performance tuning and query optimization
• Experience migrating data platforms, ideally Azure Synapse → Databricks
• Experience with Power BI, including dataset modeling
• Strong understanding of Kimball Data Warehousing approach, star schemas, and analytics best practices
• Experience working with cloud data platforms

English level 

Upper-Intermediate

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply! 

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Define and enforce best practices and coding standards across the project
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Working both independently and in close collaboration with others in the team
• Communicating clear instructions to team members and helping manage the flow of day-to-day operations
• Communicating with the client regularly 
• Design, develop, and maintain robust and scalable Spark applications
• Write clean, maintainable, and efficient code following best practices and coding standards
• Optimize code for performance and scalability, ensuring efficient data handling
• Work closely with cross-functional teams to deliver high-quality software solutions
• Identify and resolve technical issues, ensuring the reliability and performance of applications
• Create and maintain comprehensive documentation for code, processes, and workflows

What You Bring

• 5+ years of hands-on experience in software development
• Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
• Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
• Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
• Proven expertise in data processing, analysis, and transformation workflows
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
• Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
• Solid understanding of microservices architecture and its implementation in scalable systems

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with FastAPI
• Expertise in containerization and orchestration tools such as Docker and Kubernetes

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply! 

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Define and enforce best practices and coding standards across the project
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Working both independently and in close collaboration with others in the team
• Communicating clear instructions to team members and helping manage the flow of day-to-day operations
• Communicating with the client regularly 
• Design, develop, and maintain robust and scalable Spark applications
• Write clean, maintainable, and efficient code following best practices and coding standards
• Optimize code for performance and scalability, ensuring efficient data handling
• Work closely with cross-functional teams to deliver high-quality software solutions
• Identify and resolve technical issues, ensuring the reliability and performance of applications
• Create and maintain comprehensive documentation for code, processes, and workflows

What You Bring

• 5+ years of hands-on experience in software development
• Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
• Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
• Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
• Proven expertise in data processing, analysis, and transformation workflows
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
• Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
• Solid understanding of microservices architecture and its implementation in scalable systems

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with FastAPI
• Expertise in containerization and orchestration tools such as Docker and Kubernetes

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more.
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions.
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs.

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply! 

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Define and enforce best practices and coding standards across the project
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Working both independently and in close collaboration with others in the team
• Communicating clear instructions to team members and helping manage the flow of day-to-day operations
• Communicating with the client regularly 
• Design, develop, and maintain robust and scalable Spark applications
• Write clean, maintainable, and efficient code following best practices and coding standards
• Optimize code for performance and scalability, ensuring efficient data handling
• Work closely with cross-functional teams to deliver high-quality software solutions
• Identify and resolve technical issues, ensuring the reliability and performance of applications
• Create and maintain comprehensive documentation for code, processes, and workflows

What You Bring

• 5+ years of hands-on experience in software development
• Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
• Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
• Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
• Proven expertise in data processing, analysis, and transformation workflows
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
• Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
• Solid understanding of microservices architecture and its implementation in scalable systems

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with FastAPI
• Expertise in containerization and orchestration tools such as Docker and Kubernetes

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more.
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions.
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs.

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply! 

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Define and enforce best practices and coding standards across the project
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Working both independently and in close collaboration with others in the team
• Communicating clear instructions to team members and helping manage the flow of day-to-day operations
• Communicating with the client regularly 
• Design, develop, and maintain robust and scalable Spark applications
• Write clean, maintainable, and efficient code following best practices and coding standards
• Optimize code for performance and scalability, ensuring efficient data handling
• Work closely with cross-functional teams to deliver high-quality software solutions
• Identify and resolve technical issues, ensuring the reliability and performance of applications
• Create and maintain comprehensive documentation for code, processes, and workflows

What You Bring

• 5+ years of hands-on experience in software development
• Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
• Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
• Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
• Proven expertise in data processing, analysis, and transformation workflows
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
• Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
• Solid understanding of microservices architecture and its implementation in scalable systems

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with FastAPI
• Expertise in containerization and orchestration tools such as Docker and Kubernetes

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply! 

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Define and enforce best practices and coding standards across the project
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Working both independently and in close collaboration with others in the team
• Communicating clear instructions to team members and helping manage the flow of day-to-day operations
• Communicating with the client regularly 
• Design, develop, and maintain robust and scalable Spark applications
• Write clean, maintainable, and efficient code following best practices and coding standards
• Optimize code for performance and scalability, ensuring efficient data handling
• Work closely with cross-functional teams to deliver high-quality software solutions
• Identify and resolve technical issues, ensuring the reliability and performance of applications
• Create and maintain comprehensive documentation for code, processes, and workflows

What You Bring

• 5+ years of hands-on experience in software development
• Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
• Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
• Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
• Proven expertise in data processing, analysis, and transformation workflows
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
• Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
• Solid understanding of microservices architecture and its implementation in scalable systems

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with FastAPI
• Expertise in containerization and orchestration tools such as Docker and Kubernetes

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more.
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions.
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs.

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply! 

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Define and enforce best practices and coding standards across the project
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Working both independently and in close collaboration with others in the team
• Communicating clear instructions to team members and helping manage the flow of day-to-day operations
• Communicating with the client regularly 
• Design, develop, and maintain robust and scalable Spark applications
• Write clean, maintainable, and efficient code following best practices and coding standards
• Optimize code for performance and scalability, ensuring efficient data handling
• Work closely with cross-functional teams to deliver high-quality software solutions
• Identify and resolve technical issues, ensuring the reliability and performance of applications
• Create and maintain comprehensive documentation for code, processes, and workflows

What You Bring

• 5+ years of hands-on experience in software development
• Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
• Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
• Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
• Proven expertise in data processing, analysis, and transformation workflows
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
• Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
• Solid understanding of microservices architecture and its implementation in scalable systems

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with FastAPI
• Expertise in containerization and orchestration tools such as Docker and Kubernetes

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more.
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions.
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs.

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply! 

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Define and enforce best practices and coding standards across the project
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Working both independently and in close collaboration with others in the team
• Communicating clear instructions to team members and helping manage the flow of day-to-day operations
• Communicating with the client regularly 
• Design, develop, and maintain robust and scalable Spark applications
• Write clean, maintainable, and efficient code following best practices and coding standards
• Optimize code for performance and scalability, ensuring efficient data handling
• Work closely with cross-functional teams to deliver high-quality software solutions
• Identify and resolve technical issues, ensuring the reliability and performance of applications
• Create and maintain comprehensive documentation for code, processes, and workflows

What You Bring

• 5+ years of hands-on experience in software development
• Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
• Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
• Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
• Proven expertise in data processing, analysis, and transformation workflows
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
• Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
• Solid understanding of microservices architecture and its implementation in scalable systems

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with FastAPI
• Expertise in containerization and orchestration tools such as Docker and Kubernetes

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply! 

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Define and enforce best practices and coding standards across the project
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Working both independently and in close collaboration with others in the team
• Communicating clear instructions to team members and helping manage the flow of day-to-day operations
• Communicating with the client regularly 
• Design, develop, and maintain robust and scalable Spark applications
• Write clean, maintainable, and efficient code following best practices and coding standards
• Optimize code for performance and scalability, ensuring efficient data handling
• Work closely with cross-functional teams to deliver high-quality software solutions
• Identify and resolve technical issues, ensuring the reliability and performance of applications
• Create and maintain comprehensive documentation for code, processes, and workflows

What You Bring

• 5+ years of hands-on experience in software development
• Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
• Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
• Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
• Proven expertise in data processing, analysis, and transformation workflows
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
• Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
• Solid understanding of microservices architecture and its implementation in scalable systems

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with FastAPI
• Expertise in containerization and orchestration tools such as Docker and Kubernetes

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more.
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions.
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs.

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

What Is The Role : 

Developers and community matter. Our users and contributors have helped ensure that the Elastic Stack (including Elasticsearch, Kibana, Beats, and Logstash) is more than just code — they are open source projects that people love to use.

We’re looking for someone who can connect with our global audience through creative, educational, and visually engaging content. You don’t need to be a Senior Engineer — but you should have a strong technical foundation, curiosity to learn, and the skills to tell compelling stories about technology.

Your work will combine writing, visuals, and video — with no waiting on others to get it done. From drafting a Twitter thread in the morning to publishing an infographic and editing a short video in the afternoon, you’ll take ideas from concept to launch, end to end.

What You Will Be Doing:

• Create engaging technical content for social media, blogs, and YouTube, covering Search, AI, and Elasticsearch in ways that are approachable and inspiring. Topics range from foundational and evergreen topics to today's LLM release.
• Write short-form content (Twitter threads, LinkedIn posts) that distills complex concepts into clear, shareable insights.
• Produce simple, high-quality videos and infographics yourself — from scripting and recording to editing and publishing.
• Explore new trends in Search, AI, and developer tools, and translate them into content our audience cares about.
• Build demos and examples to support your content or share the highlights of the latest research papers.
• Add a creative spark to Elastic’s content to keep our community engaged and draw in new audiences.

What You Bring : 

• Solid technical background and experience in an engineering role.
• Demonstrated ability to create a variety of content formats: blog posts, social media threads, videos, infographics.
• Comfortable working independently and seeing projects through from idea to publication without waiting on others.
• Curiosity and adaptability to quickly pick up new tools and topics.
• A collaborative mindset and willingness to share ideas, in a fully distributed team.
• Strong written and spoken communication skills in English.

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. 

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

About the role

Databases are notoriously hard to optimize—with 350+ configuration parameters in PostgreSQL alone, even experienced engineers struggle to find the right settings. Have you ever dreamed about a database that continuously self-optimizes itself in the background, so you can focus on what really matters: building great products?

Sometimes your queries slow down and it's not immediately clear why. Imagine a system that proactively detects performance degradation, analyzes the root cause, and automatically improves your queries and indexes for you—creating pull requests with the exact optimizations needed.

CAST AI is seeking a skilled senior software engineer with expertise in databases and interest in understanding the underlying technology that makes them work. Knowledge of implementation details around transactions, wire protocols, WAL, indexes, query planning, and other fundamental database features will enable you to build a product that automates what's traditionally been manual and complex.

You'll work on a greenfield project with high impact, creating intelligent systems that make database optimization effortless for our customers.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

Requirements:

• Experience working with and troubleshooting PostgreSQL and/or MySQL in production environments
• Experience troubleshooting database-related issues in one of your previous roles—whether as a DBA, backend engineer, SRE, or any position where you've debugged slow queries, optimized indexes, or resolved production database problems
• Strong programming skills in Go and/or C++
• Strong problem-solving skills and the ability to troubleshoot complex issues in a production environment
• Strong written and verbal communication skills in English
• Ability to work independently and collaboratively within a team
• Startup mindset: adaptable, proactive, and comfortable with ambiguity
• A proactive, problem-solving mindset with a "yes we can" attitude

Here are some of the tools we use daily:

• Mostly Golang with C++ in the most critical data pathways
• Extending Envoy with custom network filters
• ClickHouse and PostgreSQL for business metrics
• GRPC and REST APIs
• GitLab CI with ArgoCD as our GitOps CD engine
• Prometheus, Grafana, Loki, and Tempo for observability
• Deployment charts are written in Helm.

Responsibilities:

• Design, build, and operate database optimization services in Go and C++.
• Develop features for query analysis, index recommendations, and automated performance tuning that deliver measurable database cost savings.
• Extend and maintain integrations with PostgreSQL and MySQL protocols, cloud database services (RDS, Cloud SQL, Azure Database).
• Implement query parsing, plan analysis, and recommendation algorithms that identify optimization opportunities.
• Develop monitoring and alerting systems for database performance metrics, connection health, and cost tracking.
• Shape public and internal APIs with an eye for simplicity and developer experience.
• Participate in design reviews, code reviews, and occasional customer deep‑dives.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Equity options.
• Private health insurance.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

#LI-Remote

In this exciting time of scaling our product and innovating the company with best-in-class business applications, we are looking for a Business Applications Engineer to join our growing team! In this role you will be responsible for coordinating and creating reports and integrations in relation to Super's business applications portfolio.

What you'll be doing:

• Develop, configure, and maintain integrations.
• Serve as a functional advisor for Finance reporting processes in D365 (GL, AP, AR, FA, Budgeting, Projects, etc.).
• Support Finance teams during month-end, year-end, and ongoing operational improvements within reporting and analytics.
• Participate in workshops, requirements gathering, solution design, and UAT.
• Identify opportunities to streamline Finance workflows using automation and best practices.
• Collaborate with Business Applications, IT, and Finance leaders on roadmap execution.
• Maintain documentation, integration diagrams, and operational handbooks.
• Design, build, and optimize Financial and Operational reports using: Power BI, Microsoft Fabric / Data Lakehouse, D365 FinOps data entities & reporting framework
• Work closely with Finance stakeholders to translate business needs into actionable reporting solutions.
• Establish and maintain data models, semantic layers, and reusable datasets.
• Develop, configure, and maintain integrations between D365 FINOPS, EPM tools, Fabric.
• Take ownership over development, deployment and change management (DevOps and Jira).

We're looking for someone with:

• Strong understanding of Finance processes (Accounting, FP&A, Controlling, Reporting).
• Experience working directly with Finance stakeholders and translating requirements.
• Experience in implementing ERP solutions (preferable Dynamics Navision, Business Central or Finance).
• Hands‑on experience with D365 Finance & Operations or other Dynamics ERP systems (AX 2009/2012, D365 BC).
• Experience creating integrations using: • D365 Data Entities, Azure Logic Apps / Azure Functions (preferred) OData, REST APIs
• Strong knowledge of Power BI, Microsoft Fabric, and data modeling.
• Large-scale data processing with PySpark
• Experience with Azure DevOps
• Ability to operate independently and lead small initiatives.
• Strong problem-solving and analytical capabilities.
• Excellent communication skills for cross-functional collaboration.
• Analytical and problem-solving oriented mind.
• Preferably a master's degree, minimum a bachelor's degree
• Fluent in English both verbal and written.
• Base in Zagreb, Bucharest, Madrid, or Malta

In this exciting time of scaling our product and innovating the company with best-in-class business applications, we are looking for a Business Applications Engineer to join our growing team! In this role you will be responsible for coordinating and creating reports and integrations in relation to Super's business applications portfolio.

What you'll be doing:

• Develop, configure, and maintain integrations.
• Serve as a functional advisor for Finance reporting processes in D365 (GL, AP, AR, FA, Budgeting, Projects, etc.).
• Support Finance teams during month-end, year-end, and ongoing operational improvements within reporting and analytics.
• Participate in workshops, requirements gathering, solution design, and UAT.
• Identify opportunities to streamline Finance workflows using automation and best practices.
• Collaborate with Business Applications, IT, and Finance leaders on roadmap execution.
• Maintain documentation, integration diagrams, and operational handbooks.
• Design, build, and optimize Financial and Operational reports using: Power BI, Microsoft Fabric / Data Lakehouse, D365 FinOps data entities & reporting framework
• Work closely with Finance stakeholders to translate business needs into actionable reporting solutions.
• Establish and maintain data models, semantic layers, and reusable datasets.
• Develop, configure, and maintain integrations between D365 FINOPS, EPM tools, Fabric.
• Take ownership over development, deployment and change management (DevOps and Jira).

We're looking for someone with:

• Strong understanding of Finance processes (Accounting, FP&A, Controlling, Reporting).
• Experience working directly with Finance stakeholders and translating requirements.
• Experience in implementing ERP solutions (preferable Dynamics Navision, Business Central or Finance).
• Hands‑on experience with D365 Finance & Operations or other Dynamics ERP systems (AX 2009/2012, D365 BC).
• Experience creating integrations using: • D365 Data Entities, Azure Logic Apps / Azure Functions (preferred) OData, REST APIs
• Strong knowledge of Power BI, Microsoft Fabric, and data modeling.
• Large-scale data processing with PySpark
• Experience with Azure DevOps
• Ability to operate independently and lead small initiatives.
• Strong problem-solving and analytical capabilities.
• Excellent communication skills for cross-functional collaboration.
• Analytical and problem-solving oriented mind.
• Preferably a master's degree, minimum a bachelor's degree
• Fluent in English both verbal and written.
• Base in Zagreb, Bucharest, Madrid, or Malta

In this exciting time of scaling our product and innovating the company with best-in-class business applications, we are looking for a Business Applications Engineer to join our growing team! In this role you will be responsible for coordinating and creating reports and integrations in relation to Super's business applications portfolio.

What you'll be doing:

• Develop, configure, and maintain integrations.
• Serve as a functional advisor for Finance reporting processes in D365 (GL, AP, AR, FA, Budgeting, Projects, etc.).
• Support Finance teams during month-end, year-end, and ongoing operational improvements within reporting and analytics.
• Participate in workshops, requirements gathering, solution design, and UAT.
• Identify opportunities to streamline Finance workflows using automation and best practices.
• Collaborate with Business Applications, IT, and Finance leaders on roadmap execution.
• Maintain documentation, integration diagrams, and operational handbooks.
• Design, build, and optimize Financial and Operational reports using: Power BI, Microsoft Fabric / Data Lakehouse, D365 FinOps data entities & reporting framework
• Work closely with Finance stakeholders to translate business needs into actionable reporting solutions.
• Establish and maintain data models, semantic layers, and reusable datasets.
• Develop, configure, and maintain integrations between D365 FINOPS, EPM tools, Fabric.
• Take ownership over development, deployment and change management (DevOps and Jira).

We're looking for someone with:

• Strong understanding of Finance processes (Accounting, FP&A, Controlling, Reporting).
• Experience working directly with Finance stakeholders and translating requirements.
• Experience in implementing ERP solutions (preferable Dynamics Navision, Business Central or Finance).
• Hands‑on experience with D365 Finance & Operations or other Dynamics ERP systems (AX 2009/2012, D365 BC).
• Experience creating integrations using: • D365 Data Entities, Azure Logic Apps / Azure Functions (preferred) OData, REST APIs
• Strong knowledge of Power BI, Microsoft Fabric, and data modeling.
• Large-scale data processing with PySpark
• Experience with Azure DevOps
• Ability to operate independently and lead small initiatives.
• Strong problem-solving and analytical capabilities.
• Excellent communication skills for cross-functional collaboration.
• Analytical and problem-solving oriented mind.
• Preferably a master's degree, minimum a bachelor's degree
• Fluent in English both verbal and written.
• Base in Zagreb, Bucharest, Madrid, or Malta

In this exciting time of scaling our product and innovating the company with best-in-class business applications, we are looking for a Business Applications Engineer to join our growing team! In this role you will be responsible for coordinating and creating reports and integrations in relation to Super's business applications portfolio.

What you'll be doing:

• Develop, configure, and maintain integrations.
• Serve as a functional advisor for Finance reporting processes in D365 (GL, AP, AR, FA, Budgeting, Projects, etc.).
• Support Finance teams during month-end, year-end, and ongoing operational improvements within reporting and analytics.
• Participate in workshops, requirements gathering, solution design, and UAT.
• Identify opportunities to streamline Finance workflows using automation and best practices.
• Collaborate with Business Applications, IT, and Finance leaders on roadmap execution.
• Maintain documentation, integration diagrams, and operational handbooks.
• Design, build, and optimize Financial and Operational reports using: Power BI, Microsoft Fabric / Data Lakehouse, D365 FinOps data entities & reporting framework
• Work closely with Finance stakeholders to translate business needs into actionable reporting solutions.
• Establish and maintain data models, semantic layers, and reusable datasets.
• Develop, configure, and maintain integrations between D365 FINOPS, EPM tools, Fabric.
• Take ownership over development, deployment and change management (DevOps and Jira).

We're looking for someone with:

• Strong understanding of Finance processes (Accounting, FP&A, Controlling, Reporting).
• Experience working directly with Finance stakeholders and translating requirements.
• Experience in implementing ERP solutions (preferable Dynamics Navision, Business Central or Finance).
• Hands‑on experience with D365 Finance & Operations or other Dynamics ERP systems (AX 2009/2012, D365 BC).
• Experience creating integrations using: • D365 Data Entities, Azure Logic Apps / Azure Functions (preferred) OData, REST APIs
• Strong knowledge of Power BI, Microsoft Fabric, and data modeling.
• Large-scale data processing with PySpark
• Experience with Azure DevOps
• Ability to operate independently and lead small initiatives.
• Strong problem-solving and analytical capabilities.
• Excellent communication skills for cross-functional collaboration.
• Analytical and problem-solving oriented mind.
• Preferably a master's degree, minimum a bachelor's degree
• Fluent in English both verbal and written.
• Base in Zagreb, Bucharest, Madrid, or Malta

Role Overview

We are seeking a Data Engineer to design, build, and maintain the pipelines and data platforms that power company's next-generation maritime applications. You will work closely with BI Developers, Data Architects, and Product teams to ensure data is collected, transformed, and delivered in a secure, scalable, and efficient manner using Microsoft and Azure technologies. 

Key Responsibilities

• • Design, develop, and maintain data pipelines and ETL/ELT processes using Azure Data Factory, Synapse Pipelines, or Databricks.

  • Build and optimize data lake and data warehouse architectures on the Microsoft Azure platform.

  • Ensure data quality, reliability, and consistency across all systems through validation, monitoring, and governance practices.

  • Collaborate with BI Developers and Analysts to deliver high-performance data models for reporting and analytics.

  • Work with application and integration teams to ingest data from ERP, IoT, APIs, and external sources into the Azure Data Platform.

  • Implement data security and compliance controls, including identity, access management, and data masking, aligned with maritime regulations.

  • Optimize pipeline performance and manage cost-efficiency across Azure resources.

  • Contribute to the automation of deployments using CI/CD, version control, and Infrastructure-as-Code (IaC).

  • Stay updated on Microsoft Azure data ecosystem advancements and propose improvements to company's data architecture.

Skills and Qualifications

About the job

The world’s most critical--and at risk--business applications have been neglected for far too long. Onapsis eliminates this blind spot by providing cybersecurity solutions dedicated to business-critical applications. Whether running on premises, in the cloud, or in a hybrid environment, Onapsis helps nearly 30% of the Forbes Global 100 understand the threats and risks across their SAP and Oracle landscapes.

We are seeking a Senior Data Engineer to join our mission-driven team. This role is ideal for experienced data engineers with a proven track record in architecting scalable data pipelines, leveraging cloud technologies, and contributing to high-impact cybersecurity solutions. You will be responsible for building high-performance ETL frameworks, optimizing data platforms, and contributing directly to the enhancement of our customers' threat detection, response, and remediation capabilities.

What you will be doing, your legacy: 

You will be working directly with company Principal Engineers evaluating, scoping, proposing, and building features to fulfill business solution requirements to protect our customers. You will play a direct role in laying the technical foundation for a new product offering. Additionally, you will be working with Engineering and DevOps to deliver high-quality products and services while also working closely with security and IT professionals to ensure safe and secure best practices are followed. 

Responsibilities:

• Architect and Design Scalable Data Solutions: Design/develop/maintain Data lakehouse solutions (Iceberg/Delta Lake /Hudi) applying industry best practices and structuring / optimizing the data according to data access patterns.
• Data Pipeline Development: Implement ETL/ELT pipelines using cloud technologies (Spark / pySpark / Glue, Kinesis Streams / Iceberg) to load the data into a Lakehouse for both efficient ML processing and UI reporting.
• Implement data models and data processing frameworks (Spark, Kafka, Snowflake) to ingest, transform, and load large datasets into Data Lakehouse techs (Apache Iceberg, Apache Delta Lake or Apache Hudi), ensuring high availability and reliability of data.
• Advanced Data Integration: Develop solutions that integrate multiple data sources into Snowflake or similar data warehouses to enable real-time analytics and reporting across dashboards.
• AI/ML Integration: Collaborate with cross-functional teams to co-develop AI-driven features identifying patterns and anomalies in client data using AI/ML technologies (python).
• Compliance and Security: Ensure compliance with industry standards and secure best practices (SOX, SOC 1/2), by implementing data governance frameworks, monitoring data pipelines, and optimizing cloud database architectures to protect sensitive information.
• Stakeholder Collaboration: Work closely with stakeholders, including analysts, engineers, and product managers, to understand their data needs, propose solutions, and drive data-driven decision-making by delivering actionable insights.
• Data Infrastructure Monitoring: Continuously monitor, troubleshoot, and enhance data pipelines, leveraging CI/CD tools (Docker, Jenkins, GitHub Actions) and orchestrating workflows using Apache Airflow to maintain operational efficiency.
• Leadership and Mentorship: Provide hands-on mentorship and technical guidance to junior engineers, including code reviews and architecture discussions.
• Documentation and Governance: Establish comprehensive documentation for data architecture, governance, and processes to ensure scalability, compliance, and security.

Qualifications:

• 5+ years of proven experience as a Data Engineer or in a similar role with a deep understanding of data architecture and cloud-based ETL/ELT frameworks.
• Strong experience with AWS (preferably) or Azure , particularly with Glue, EMR, S3, Lambda. Databricks, Snowflake, Synapse experience is a bonus.
• Proficiency in big data technologies such as Apache Spark, Kafka, Hadoop, and Databricks for distributed data processing.
• Proficiency with Python libraries for data processing and ML (e.g., Pandas, NumPy, Polars, Scikit-learn, PyTorch, TensorFlow).
• Hands-on experience in building real-time data processing and AI/ML-driven analytics solutions (SageMaker, Bedrock, NLP, Power BI).
• Ability to architect and manage data lakehouse solutions (Iceberg / Delta Lake / Hudi) or classic warehouse solutions (Redshift, Snowflake).
• Familiarity with compliance and audit requirements (SOX, SOC 1/2, GDPR) and implementing data governance and security frameworks.
• Strong problem-solving skills with a focus on data integrity, scalability, and performance optimization.
• Experience with CI/CD tools (Jenkins, GitHub Actions, Docker) and data orchestration platforms (Apache Airflow).

Preferred Qualifications:

• Experience with advanced data architecture principles (medallion architecture, materialized views, task scheduling).
• Experience using BI tools (e.g., Power BI, Tableau) for real-time analytics and operational reporting

What we offer: 

• A role in shaping the future of protecting the most critical applications that run the world's business and a career that grows as the company grows.
• A unique culture of high achievement and teamwork.
• Supportive and humble colleagues are the space's top problem solvers and innovators.
• Financial security through competitive compensation and incentives.

Location: Onapsis is established a new development center in Bucharest. This is a hybrid role (1-2 days per week from the office), so candidates must be commutable to Bucharest every week.

About Onapsis:

Onapsis protects the business applications that run the global economy. The Onapsis Platform delivers vulnerability management, change assurance, and continuous compliance for business applications from leading vendors such as SAP, Oracle, and others. The Onapsis Platform is powered by the Onapsis Research Labs, the team responsible for the discovery and mitigation of more than 1,000 zero-day vulnerabilities in business applications.

Onapsis is headquartered in Boston, MA, with egional offices in Heidelberg, Germany; Buenos Aires, Argentina; Texas, USA, and now in Bucharest, Romania; and proudly serves hundreds of the world’s leading brands, including close to 30% of the Forbes Global 100, six of the top 10 automotive companies, five of the top 10 chemical companies, four of the top 10 technology companies, and three of the top 10 oil and gas companies. 

For more information, connect with Onapsis on LinkedIn or visit https://www.onapsis.com.

#LI-AC1

#LI-Hybrid

We are looking for a Senior ML Platform Engineer to join our ML Platform team to build, evolve and scale AI Infrastructure that powers Bolt's intelligent services

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

The ML Platform Team makes ML/AI easy at scale. We streamline development, testing and deployment of ML/AI systems for hundreds of real-time algorithms. 

We own training orchestration, an inference software stack and infrastructure, and a Feature Store, including VectorSearch and RAG tooling. We develop LLM tools and CI/CD for ML, covering the whole range of ML infrastructure needs.

Our tech stack includes TypeScript, Python, Spark (batch and structured streaming), Airflow, n8n, MLflow, LiteLLM, AWS SageMaker, Redis, Elasticsearch, Docker, Kubernetes, AWS (S3, EKS), Terraform, Great Expectations. 

• Designing, building, and optimising components of Bolt’s ML Platform.
• Optimise and extend our in-house Feature Store Platform serving billions of data points in real-time.
• Tune infrastructure (k8s and AWS) and build automations to achieve the best cost-performance.
• Proactively solve technical challenges, discover and build new features, enabling develop efficiency.
• Support our internal users and help with troubleshooting, and turn user problems into scalable solutions.
• Raise our product and technical quality bar, promoting software engineering best practices.

• 5+ years of experience in Software Engineering, out of which 2+ in ML/MLOPS/AI Engineering.
• Experience in leading and delivering complex cross-team projects.
• Production experience with Python, Spark, and Kubernetes.
• Experience in MLOPS and AI ecosystem, and developing end-to-end ML/AI solutions at scale.
• You strive for technical excellence while staying pragmatic to achieve outcomes for the users.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

• Accelerate your professional growth with unique career opportunities.
• Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you.
• Take care of your physical and mental health with our wellness perks.
• Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge.
• Connect with colleagues at annual company events and smaller team gatherings.
• Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.

*Some perks may differ depending on your location and role.