Jobs Data Engineer

🚀 Senior Data Engineer (EU)

About the Role:

We are looking for an experienced Senior Data Engineer to join our team and help build scalable, secure, and high-performance data platforms. In this role, you will work closely with Data Architects, Engineers, Analysts, DevOps specialists, and Data Scientists to design, develop, and optimize modern cloud-based data ecosystems.

This is a full-time remote position for a senior-level professional who can commit 40 hours per week and take ownership of complex data engineering initiatives.

🔹 Responsibilities:

As a Senior Data Engineer, you will:

* Collaborate with Data Architects on designing and implementing data solutions across Azure, AWS, or IBM Cloud environments

* Build, maintain, and optimize modern data ecosystems and data pipelines

* Develop and support data ingestion, transformation, and processing solutions

* Work closely with cross-functional teams, including Data Engineers, Analysts, DevOps Engineers, and Data Scientists

* Implement security best practices to ensure the reliability and protection of cloud infrastructure and data processes

* Apply modern engineering principles and methodologies to support business growth and innovation

* Identify opportunities to improve data quality, reliability, scalability, efficiency, and overall platform performance

* Optimize data solutions to balance performance, maintainability, and cost-effectiveness

* Design and execute unit, system, and integration testing strategies

* Contribute to continuous improvement initiatives and engineering best practices

🔹 Requirements:

* Strong commercial experience as a Data Engineer

* Advanced proficiency in Python for data processing, transformation, and analysis

* Strong expertise in SQL, including query optimization and database performance tuning

* Hands-on experience with Azure and/or AWS data platforms and services

* Experience designing and maintaining scalable cloud-based data solutions

* Solid understanding of data engineering best practices, data modeling, and ETL/ELT processes

* Experience with software development lifecycle methodologies and Agile environments

Nice to Have:

* Experience with IBM Cloud data services

* Knowledge of data governance and cloud security practices

* Experience working in enterprise-scale data environments

🌍 What We Offer:

-Paid vacation and sick leave

-We provide the equipment you need to work comfortably (if required)

-We cover 50% of courses if you want to grow professionally

-Regular salary reviews based on your performance

-Competitive salary, depending on your experience

-Always on-time payments — no delays

-A normal, supportive team without unnecessary bureaucracy

We are looking for a Senior Data Engineer with specialized domain expertise in fraud detection, Anti-Money Laundering (AML), or transaction-monitoring systems to establish data-quality foundations for decision engines.

Our client is a fast-growing European FinTech company in the Business Spend Management space - providing corporate cards and related financial products to SME and mid-sized businesses across the EU and UK in a regulated environment.
You will embed directly into a product squad as a hands-on Individual Contributor (IC). 

Key Responsibilities:

• Architect and build robust data-quality frameworks specifically designed to power decision engines.
• Design, scale, and maintain reliable, high-throughput production data pipelines.
• Build infrastructure and workflows that enable fast, seamless deployment of fraud and transaction-monitoring rules.
• Bring deep domain knowledge in Fraud, AML, and Transaction Monitoring to production data engineering workflows.
• Multiply the output and quality of your squad while sharing data engineering patterns and best practices across the organization.

Requirements:

• Strong, senior-level 5+ years expertise in Python for data engineering and production pipeline development.
• Experience/background in Fraud, AML, or Transaction-Monitoring systems.
• Proven track record of establishing data-quality foundations for automated decisioning systems.
• Extensive experience building production data pipelines and supporting rapid rule deployment workflows.

Nice-to-Have Skills:

• Hands-on experience with Airflow, SQL, PostgreSQL, and Google BigQuery (standard stack for data/analytics workloads).
• Experience working in hybrid cloud environments (AWS primary + GCP analytics).
• Familiarity with modern engineering workflows (Linear, GitHub, Notion, Slack) and AI-assisted development (Claude Code, GitHub Copilot).

Client

Our client is the UK’s leading development finance institution, dedicated to supporting companies in developing countries and driving sustainable growth.

Position overview

We are looking for a Senior/Lead Data Engineer to join a distributed team working on modern cloud-based data solutions within the Azure ecosystem. The role involves designing, developing, and maintaining scalable data pipelines and integrations that support business-critical reporting, analytics, and operational processes.

You will work closely with cross-functional teams, contributing to architecture decisions, delivery processes, and continuous platform improvements while ensuring high standards of quality and reliability.

Responsibilities

• Design, develop, and maintain data pipelines and ETL/ELT processes using Azure technologies
• Build and support scalable solutions using Azure Data Factory (ADF), Azure SQL, and other Azure services
• Develop backend logic and automation using Python, Azure Functions, and Logic Apps
• Collaborate with stakeholders, analysts, and engineering teams to gather requirements and deliver data solutions
• Monitor, troubleshoot, and optimize data workflows and integrations
• Participate in code reviews, technical discussions, and solution design activities
• Contribute to CI/CD and deployment processes within the Azure environment
• Ensure data quality, security, and performance best practices are followed
   

Requirements

• Strong hands-on experience with Azure Data Factory (ADF)
• Solid experience with Azure SQL and the Azure Data Stack
• Strong Python development skills
• Experience working with Azure Logic Apps and Azure Function Apps
• Good understanding of cloud-based data architecture and integration patterns
• Experience building and maintaining scalable data pipelines
• Familiarity with Azure DevOps, Git, and CI/CD pipelines
• Experience working in Agile development environments
• Strong communication and collaboration skills
• Upper-Intermediate or higher English level

Nice to have

• Experience leading technical initiatives or mentoring engineers
• Knowledge of data governance and security best practices
• Experience with infrastructure automation or monitoring tools
• Exposure to financial services or development finance domains

Main requirements

Snowflake Experience

The person should be proactive, well-organized, and an effective communicator, able to independently drive tasks forward, keep processes under control, and communicate clearly with the team and stakeholders.

Requirements

Senior Data Enginer

Snowflake — core development

• Writing and maintaining production views, secured views and stored logic in Snowflake
• Understanding of role-based access control: users, roles, GRANTs, warehouse and database entitlement models
• Enough query-tuning instinct to build views over large fact tables without wrecking performance — partition pruning, clustering awareness, avoiding SELECT *

Microsoft SQL Server

• T-SQL development
• Migrating legacy tables, views and stored procedures to Snowflake

Previous ETL Tooling Experience

Bonus Points

BI and semantic layer

• Sigma Computing — connection setup, workbooks, embedding, AI/Cortex configuration. We are rolling Sigma out now and retiring Tableau Desktop.
• Tableau — data source management, extract vs live strategy, extract scheduling and dependency mapping

Documentation and code review

• Producing data-flow and architecture diagrams
• Reviewing SQL/pipeline code to a standard — we have a code review backlog in other areas because there aren’t enough qualified SQL reviewers. A contractor who can act as a second reviewer is disproportionately valuable.

Azure DevOps (aka ADF Pipelines sync’d with Github)

• CI/CD pipelines for database and ADF artefacts, service principal / client secret configuration, release troubleshooting

External API ingestion

• Consuming and loading third-party APIs into the warehouse (e.g. FX/exchange rate feeds), including auth and error handling
• Snowflake Git integration — connecting a Git repository to Snowflake, versioning database objects and deploying from a branch, plus general source-control discipline for SQL and pipeline code
• Snowflake Streamlit — building lightweight in-warehouse data apps as an alternative to a full BI workbook where the audience is small or the use case is operational
• Python for data engineering and Snowpark
• Snowflake Cortex / LLM-in-warehouse features
• dbt or equivalent transformation tooling (not in use today, but relevant if we modernise)

Working attributes we need

• Comfortable being the second pair of hands on a one-person team — takes a ticket end-to-end without daily direction
• Documents as they go; we are explicitly trying to reduce single-person key-man risk
• Cost-aware: several of our decisions are spend-driven, not purely technical

English - Andvanced

We are looking for a Senior DevOps Engineer to build and evolve the infrastructure behind Kyivstar's Big Data products. You will own the full lifecycle of our cloud and on-premises environments - from architecture and provisioning to CI/CD, observability and incident response 

Requirements

- 3+ years of experience as a DevOps Engineer.

- Practical experience with cloud providers (AWS preferred).

- Experience building CI/CD pipelines (preferably GitLab).

- Strong hands-on experience with Docker and Kubernetes.

- Practical experience with Infrastructure as Code (IaC) (preferably Terraform).

- Solid understanding of Unix/Linux operating systems and networking fundamentals.

- Strong hands-on experience with scripting languages (Bash and/or Python).

- Experience with relational and non-relational databases (e.g., PostgreSQL or similar).

- Experience with monitoring and alerting tools (e.g., Prometheus, Grafana).

- Proven experience working with remote/distributed teams.

- Experience with AI agents or AI-driven tooling is a plus.

Responsibilities

- Implement solutions for Big Data and AI products.

- Design and implement CI/CD pipelines tailored for Big Data solutions.

- Manage and maintain AWS and on-premises infrastructure.

- Monitor, troubleshoot, and continuously improve system observability.

- Automate software deployment, monitoring, and routine operational tasks.

- Support staging/production environments, manage release cycles, and assist customers.

We offer

•            A unique opportunity to shape the future of Big Data products at Ukraine's leading telecom operator

•            Work on high-impact initiatives that create value across multiple business functions

•            Collaboration with experienced business, data and technology professionals

•            Remote work with the possibility to visit the office

•            Competitive salary and annual bonus

•            Paid vacation and sick leave

•            Flexible working hours

•            Medical and life insurance

•            Professional development and career growth opportunities

•            A friendly, collaborative and innovation-driven working environment

ABOUT US

ODDITY is a consumer-tech company which builds and scales digital-first brands to disrupt offline-dominated categories.

With HQ in New York City and an R&D center in Tel Aviv, we built one of the industry’s most advanced technology platforms, which leverages data science, machine learning and computer vision capabilities to deliver an unparalleled online experience for consumers. We are using cutting-edge data science to identify consumer needs and develop solutions in the form of tech and wellness products.

In less than 5 years since launch, we have built two of the fastest-growing online beauty brands in the US-IL MAKIAGE and SpoiledChild. Our first brand IL MAKIAGE has since grown to unprecedented scale online, reaching over $300 million in revenue and 40 million users in only 4 years. ODDITY New Ventures built and launched our second brand SpoiledChild in early 2022, and it is already scaling even faster than IL MAKIAGE. As of 2023, ODDITY is officially a publicly traded company valued at >$2B and we were named a TIME100 Most Influential Company.

Our continued success is a result of our winning mindset combined with unparalleled physical & tech products. We have made significant investments in data science, AI, computer vision, and biotechnology to identify consumer needs and develop solutions designed for consumers. Our proprietary computer vision technology allows smartphone cameras to capture hyperspectral wavelengths of light beyond the capability of the human eye. In 2023, ODDITY acquired Revela - a biotech start-up that uses AI-based molecule discovery to bring next-generation, proprietary ingredients to the beauty & wellness market.

ABOUT THE ROLE

We are seeking bright and curious data-minded individuals to join our Data team. Data is a core to our growing business and our Data team is the engine that powers our data-driven culture. As a Data Engineer, you will play a vital role in designing & building solutions for our most challenging business problems.

KEY RESPONSIBILITIES

• Help design and implement data collection strategy to ensure we know as much as possible about user experience and needs
• Design, build, and maintain ETL and ELT pipelines
• Develop and optimize data processing pipelines using AWS Glue
• Build robust data transformations using Python and SQL
• Support BI use cases and verify data availability for reporting in Looker
• Work hand-in-hand with engineers and product leaders to implement your solutions quickly and effectively
• Constantly measure, analyze, and produce insights and visibility on performance to keep improving user satisfaction with our products and store
• Work with growth, marketing, product, support, and management to better understand where data can be useful and ‘move the needle’
• Support upper management in tasks that will bolster user satisfaction, product recommendations, or strategy.

REQUIRED SKILLS & EXPERIENCE

• B.S.c in a highly quantitative field such as Computer Science/Mathematics / Physics/Industrial Engineering or equivalent academic knowledge
• 1+ years of programming experience
• High proficiency in Python and SQL
• Strong outstanding analytical & technical skills
• Able to quickly learn new tools and data analysis methods
• A self-learner, not afraid to explore new areas of research
• A team player and a can-do attitude, delivery oriented
• Excellent spoken and written English.

NICE TO HAVE (BIG ADVANTAGE)

• Experience working directly with marketing / product analytics teams
• Experience with AWS data services, especially AWS Glue, AWS MWAA (Airflow) or Amazon Redshift
• Familiarity with BI tools, preferably Looker
• Experience working in agile environments using Jira

Шукаємо у команду Senior DevOps / SRE Engineer (Remote).

Якщо ви маєте бажання працювати в невеликому колективі разом із сильною командою, радо розглянемо ваш відгук! Ми шукаємо не лише сильного DevOps Engineer, а й інженера із досвідом Site Reliability Engineering (SRE), який готовий брати на себе технічне лідерство, ділитися знаннями та допомагати розвиватися іншим членам команди. Націлені на довгострокову співпрацю з компенсацією, що базуватиметься на вашому досвіді роботи.
 

Завантаженість: повна зайнятість — 40 год/тиждень. Робота віддалена. Оплата погодинна.
 

Стек технологій:

- Scripting: Bash | Python | Makefile

- Containers and Orchestration: Kubernetes | Docker | GKE

- Infrastructure as Code (IaC): Terraform | Ansible

- CI/CD & Automation: GitHub Actions | CircleCI | TravisCI

- Cloud Providers & IaaS: AWS | GCP | Azure | Hetzner

- Databases: SQL | NoSQL (PostgreSQL, Redis…)

- Authorization and Security: OpenSSL

- Observability and Monitoring: Prometheus | Grafana | ELK Stack (Elasticsearch, Logstash, Kibana)

- Operating Systems: Linux
 

Site Reliability Engineering (SRE):
- SLI / SLO / SLA | Incident Response | Root Cause Analysis (RCA) | - High Availability | Capacity Planning | Disaster Recovery | 
- Performance Optimization | Reliability Engineering | 
 

Буде плюсом:

- Infrastructure Management: Developing and implementing infrastructure, configuration, and code branching strategies.

- Quality Assurance & Testing: Conducting integration, regression, UI/UX, API, load/stress, and other types of testing.

- Bug Tracking & Issue Management: Identifying, documenting, and tracking software defects and bugs.

- Performance & Optimization: Monitoring and analyzing quality metrics to identify areas for improvement.

- Automated Testing: Experience with automated testing frameworks such as Selenium, Appium, JMeter, etc.

Mentoring & Leadership:
- Досвід менторингу Junior/Middle інженерів, проведення code review, технічних обговорень, knowledge sharing та допомоги команді у професійному розвитку.
 

Вимоги до кандидата:

- Досвід роботи DevOps Engineer та практичний досвід Site Reliability Engineering (SRE)
- Досвід побудови та підтримки високодоступних production-систем із високими вимогами до reliability.

- Досвід роботи з Kubernetes у production-середовищі

- Розуміння принципів високої доступності, масштабування та відмовостійкості систем

- Досвід побудови та підтримки CI/CD процесів

- Англійська мова — Intermediate+

- Уміння слідувати code conventions

- Здатність навчатися

- Здатність наполегливо працювати

- Критичне мислення

- Витривалість

- Спроможність лаконічно та чітко пояснювати свою думку

- Бажання ділитися знаннями, проводити менторинг та допомагати розвиватися іншим членам команди

- Відданість нашим проєктам

- Прозорість
 

Що отримаєте:

- Віддалені умови роботи

- Удосконалення навичок планування та продуктивності

- Робота у вимогливому, але дружньому середовищі серед A-гравців

- Регулярний зворотний зв'язок і допомога в плануванні вашого навчального процесу та кар'єрного зростання

- Незалежність від місцевого ринку та долучення до глобальної економіки

- Підвищення рівня володіння англійською мовою

- Корпоративні навчання, технічні воркшопи та тренінги для постійного підвищення кваліфікації

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

Why join us

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

About the role

We are looking for a Senior Application Security Engineer to architect and build automated security layers within the SDLC, engineering AI-enabled secure code scanning, hardened baseline automation, and CI/CD security tooling integration within a large-scale financial services program. You will work primarily in Python to build automated security runbooks, deploy and tune scanning tools, and provide code-level remediation guidance to development teams — operating with full autonomy and no daily supervision. AppSec and DevSecOps experience is strongly preferred; SAST/DAST/SCA and Java expertise are a plus.

What you will do

• Engineer and deploy AI-enabled secure code scanning capabilities and "Golden Images" to drive secure-from-the-start adoption;
• Automate the development of secure coding patterns and integrate them with traditional and Agentic SDLC workflows;
• Architect the integration of continuous security scanning tools (SAST, DAST, SCA) into enterprise CI/CD pipelines, tuning them to eliminate noise;
• Act as a senior technical SME, reading and reviewing complex application code (Java/Python) to provide software engineers with highly specific, code-level remediation guidance.

Must haves

• 5+ years of software engineering experience, ideally with a focus on Application Security and DevSecOps;
• Strong coding and architectural proficiency in Python for security automation and scripting;
• Fully autonomous execution capability, requiring no daily supervision to map out and build automated security runbooks;
• Upper-intermediate English level.

Nice to haves

• Deep, hands-on expertise deploying and tuning modern application security testing tools, including SAST, DAST, and SCA, and integrating them into complex CI/CD orchestration ecosystems;
• Experience integrating LLMs, AI agents, or automated coding assistants to streamline vulnerability triaging or secure code generation;
• Advanced application threat modeling experience;
• Ability to confidently read, review, and secure enterprise source Java code.

The benefits of joining us

• Professional growth

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

• Competitive compensation

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

• A selection of exciting projects

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

• Flextime

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

Meet Our Recruitment Process

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

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

Synchronous stage – Live interviews

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

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

🚀 We are looking for a Middle+/Senior Data Engineer to join a long-term data platform project.

 

The role is focused on designing, building, and maintaining reliable data pipelines and cloud-based data platforms for high-load business environments. The ideal candidate has strong hands-on experience with Python, SQL, ETL/ELT processes, and AWS data services.

🎯 Responsibilities

 

- Design, build, and maintain scalable batch and near-real-time data pipelines.

- Develop ETL/ELT workflows using Python, SQL, and modern data engineering tools.

- Integrate data from APIs, databases, files, SaaS platforms, and event-based sources.

- Build and support data lakes, data warehouses, and analytics-ready datasets.

- Improve pipeline performance, reliability, scalability, and cost efficiency.

- Implement data quality checks, monitoring, logging, validation, and alerting.

- Troubleshoot production data issues and identify root causes.

- Collaborate with data analysts, BI engineers, data scientists, software engineers, and business stakeholders.

- Maintain technical documentation, data models, and pipeline specifications.

- Contribute to CI/CD, infrastructure automation, and cloud platform improvements.

 

🧩 Requirements

 

- 3+ years of commercial experience in Data Engineering or a closely related role.

- Strong hands-on experience with Python.

- Strong SQL skills, including complex transformations and query optimisation.

- Practical experience building and maintaining production-grade ETL/ELT pipelines.- Experience working with AWS data services, particularly S3 and at least one of the following:

  - AWS Glue;

  - Athena;

  - EMR;

  - Redshift;

  - Lambda.

- Experience with at least one orchestration or transformation tool such as Airflow, dbt, Prefect, Dagster, or similar.

- Experience working with at least one cloud data warehouse or data platform such as Snowflake, Databricks, BigQuery, or Redshift.

- Strong understanding of data warehousing, data lakes, data modelling, partitioning, and file formats.

- Experience implementing data quality checks, monitoring, and error handling.

- Experience with Git and CI/CD workflows.

- Ability to independently investigate issues, make technical decisions, and take ownership of delivery.

- English level: Upper-Intermediate or higher.

 

🧩 Nice to Have

 

- Experience with Spark or PySpark.

- Experience with Kafka, Kinesis, Pub/Sub, or other streaming technologies.

- Experience with Delta Lake, Apache Iceberg, or Apache Hudi.

- Experience with Terraform, AWS CDK, or another Infrastructure as Code tool.

- Experience with Docker or Kubernetes.

- Experience with high-load or analytics-heavy products.

- Experience with GCP or Azure data services.

- Experience supporting AI/ML or LLM-related data pipelines.

🧩You'll have an opportunity to:

Build scalable data platforms using modern cloud technologies.

Work with large datasets and production-grade data pipelines.

Collaborate with experienced international engineering teams.Solve complex data engineering challenges across different industries.

Continuously develop your technical expertise with modern data tools and cloud services.

Take ownership of features and contribute to high-quality engineering practices.

We are looking for a hands-on Senior Computer Vision Engineer to join a long-term product engineering team. The client builds hardware and software platforms for real-world outdoor mapping, inventory, and environmental analysis. This is not a standard image classification task on clean laboratory datasets. Our models process visual and sensor data captured on the go in dynamic, unpredictable outdoor environments (varying lighting, motion blur, complex natural backgrounds, changing distances). Your main focus won't be just reading R&D papers, but diagnosing where existing models fail, running experiments, and turning those experiments into robust production improvements.

Key Responsibilities:

• Analyze, improve, and optimize production CV models for object detection, segmentation, and depth analysis.
• Diagnose model errors.
• Build evaluation and experimentation pipelines for real-world, noisy data.
• Work with data captured from moving camera systems / wearables.
• Optimize inference pipelines for production integration.
   

Requirements:

• 3+ years of commercial experience in Computer Vision & ML (Python, PyTorch).
• Proven experience taking CV models into production.
• Strong expertise in Object Detection, Instance/Semantic Segmentation, or Depth Estimation.
• Solid understanding of training pipelines, dataset quality, data augmentation, and inference optimization.

• Ability to work independently on applied ML problems.

  
   

Nice to Have:

• 3D & Spatial CV: Monocular/stereo depth estimation, RGB-D, Point Clouds, Camera Geometry.

• Sensor & Navigation: SLAM, Visual-Inertial Odometry (VIO), Sensor Fusion, LiDAR.

   

• We offer:
• Flexible working schedule
• Fully remote work
• Compensation for medical, educational and sports activities
• Professional growth opportunities
• Internal knowledge-sharing talks
• Awesome team events and activities
• Paid vacation and sick leave
   

The company is a healthcare data analytics provider offering modern data infrastructure, reporting, and AI‑driven insights. Their technology focuses on improving how healthcare organizations manage, analyze, and use clinical data.

Core Solutions

•  Healthcare data platform: Consolidates structured and unstructured patient data in near real time to create a unified data foundation.

•  Longitudinal clinical data ecosystem: Enables comprehensive management and analysis of patient information.

•  Patient engagement platform: Integrates data from multiple sources to support secure communication and holistic patient care.

•  Population health management suite: Aggregates clinical and claims data, identifies at‑risk groups, and supports interventions to improve outcomes and reduce costs.

•  Care coordination and analytics tools: Provide a complete view of patient data to enhance quality, reduce costs, and support risk stratification.

•  AI and analytics services: Transform healthcare data into actionable insights for better care and operational efficiency.

Main expectations:
1.  Strong Python 3.x backend development (Flask + multithreading)
2.  Solid SQL skills and hands‑on experience with PostgreSQL
3.  Practical experience with BigQuery and Google Cloud services
4.  Containerization skills (Docker/Podman) and basic Kubernetes knowledge
5.  ETL/ELT pipeline experience and large‑scale data processing

Conditions:

• Compensation: 5500–6500 USD/month

• Contract: B2B

• Remote‑friendly

Client

Our client is a U.S.-based company specializing in services for the reverse mortgage market.

Project overview

The project focuses on advancing the capabilities and efficiency of the reverse mortgage market system through the development of new modules and features, system enhancements, and its migration to contemporary technologies.

Position overview

We are seeking an experienced UiPath Robotic Process Automation (RPA) Engineer to design, develop, implement, and support scalable enterprise automation solutions that improve operational efficiency and reduce manual effort.

The role involves collaborating with business stakeholders, Business Analysts, solution architects, and development teams to deliver secure, maintainable UiPath solutions. The engineer will contribute to the organization’s digital transformation by developing RPA solutions aligned with enterprise architecture, governance, security, and compliance standards.

Responsibilities

• Design, develop, test, deploy, and maintain UiPath automation solutions.
• Analyze business processes to identify automation opportunities and recommend optimal RPA solutions.
• Develop reusable automation components and frameworks following enterprise standards.
• Integrate UiPath solutions with web applications, desktop applications, APIs, databases, and enterprise systems.
• Build attended, unattended, and scheduled automation workflows.
• Partner with Business Analysts and business stakeholders to understand functional and technical requirements.
• Participate in process discovery workshops and automation assessments.
• Prepare solution design documents and technical specifications.
• Provide effort estimates and implementation recommendations.
• Develop automation using UiPath Studio and UiPath Orchestrator.
• Create reusable libraries, workflows, and custom activities when appropriate.
• Integrate with REST APIs, SQL databases, file systems, email platforms, and cloud services.
• Develop robust exception handling and logging mechanisms.
• Perform unit testing, system testing, integration testing, and provide support during user acceptance testing.
• Resolve automation defects and optimize existing bots.
• Ensure automation meets performance, security, and compliance standards.
• Participate in peer code reviews and technical walkthroughs.
• Deploy automation packages through UiPath Orchestrator.
• Monitor bot execution and troubleshoot production issues.
• Support scheduled automation jobs and production releases.
• Participate in production support and incident resolution.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).
• 3–7 years of software development or RPA development experience.
• 2+ years of hands-on experience with UiPath Studio and UiPath Orchestrator.
• Strong understanding of RPA development principles and best practices.
• Experience integrating automation solutions with REST APIs, SQL databases, file systems, email platforms, and cloud services.
• Experience with exception handling, logging, testing, debugging, and production support.
• Understanding of enterprise architecture, security, governance, and compliance standards.

Company Description

Are you a Senior Data Engineer passionate about building scalable, high-performance data platforms and working with modern Lakehouse technologies? Join Sigma Software’s Data Engineering Center of Excellence and contribute to the modernization of an enterprise-scale analytics ecosystem for the retail domain.
We are looking for a Senior specialist with strong Databricks, PySpark, and cloud data engineering expertise to participate in the migration of a large-scale analytical platform from BigQuery to Databricks. You will collaborate with international teams, contribute to architectural decisions, and help shape reliable and scalable data solutions.
We at Sigma Software create opportunities for continuous learning, technology growth, and meaningful engineering impact while working on complex international projects.

CUSTOMER

Our Customer is a leading retail technology company specializing in AI-driven pricing optimization solutions for enterprise retailers. The company helps businesses improve profitability and competitiveness through advanced analytics, automation, and intelligent pricing strategies. Their platform combines business intelligence with sophisticated algorithms to support data-informed pricing decisions at scale for global retail organizations.

PROJECT

The project focuses on the strategic migration of a large-scale analytical platform from a legacy BigQuery ecosystem to a modern Databricks Lakehouse architecture. The platform processes high-volume retail datasets, machine learning workloads, analytics pipelines, and customer-specific business logic.
As part of the modernization initiative, the engineering team is implementing scalable Spark-based processing, Delta Lake architecture, medallion data layers, and modern governance practices. The role offers an opportunity to work with distributed data processing systems, optimize large-scale workloads, and contribute to the evolution of an enterprise-grade data platform.

Key Technologies: Databricks, Apache Spark, PySpark, Delta Lake, Python, SQL, Airflow, GCP, CI/CD, Unity Catalog

Job Description

• Participate in the migration of a large-scale analytical platform from BigQuery to Databricks
• Design and implement scalable Lakehouse architectures using Databricks and Delta Lake
• Analyze existing ETL / ELT workloads and define migration approaches
• Develop and optimize data pipelines processing large volumes of retail and analytical data
• Implement incremental processing strategies and scalable transformation frameworks
• Build and maintain Spark-based data processing solutions using PySpark
• Design and maintain medallion architecture layers including Bronze, Silver, and Gold
• Implement data governance and security best practices using Unity Catalog
• Collaborate with Data Science, Analytics, Product, and Customer Engineering teams
• Participate in architecture discussions and technical solution design
• Develop reusable data platform components and engineering standards
• Conduct code reviews and contribute to platform reliability and maintainability
• Troubleshoot and optimize complex SQL and Spark workloads
• Support production deployments and platform modernization activities

Qualifications

• 5+ years of professional experience as a Data Engineer
• Strong programming skills in Python and advanced SQL
• Hands-on commercial experience with Databricks
• Strong knowledge of Apache Spark, primarily PySpark
• Experience designing and building modern cloud-based data platforms
• Experience developing ETL / ELT pipelines and large-scale data processing solutions
• Hands-on experience with Delta Lake
• Experience with Spark Declarative Pipelines
• Experience with cluster monitoring, metrics analysis, and performance optimization
• Strong understanding of distributed data processing architectures
• Solid understanding of data warehousing concepts and dimensional modeling
• Experience with Airflow or similar orchestration tools
• Experience optimizing complex analytical SQL workloads
• Experience implementing CI / CD practices for data engineering platforms
• Strong troubleshooting and performance optimization skills
• Ability to work collaboratively in cross-functional international teams
• Upper-Intermediate or higher English level

WILL BE A PLUS

• Experience working with GCP cloud services
• Experience with AWS or Azure cloud platforms
• Experience in retail analytics or pricing optimization domains
• Experience supporting machine learning or AI-related data workloads
• Experience with platform modernization and cloud migration initiatives

Additional information

PERSONAL PROFILE

• Strong analytical and problem-solving mindset
• Proactive and ownership-driven approach
• Ability to work independently and collaboratively
• Good communication and stakeholder collaboration skills
• Passion for scalable data engineering and modern data platforms
• Interest in continuous learning and technology innovation

On behalf of our client, we are looking for a Senior Ceph/Rook-Ceph + Kubernetes Storage Engineer

Requirements:

- 5+ years of experience in DevOps, SRE, infrastructure, or storage engineering

- Deep hands-on production experience with Ceph

- Strong experience with Rook-Ceph and Kubernetes storage/CSI

- Solid Kubernetes and Linux administration skills

- Experience with Ansible and Helm

- Monitoring with Prometheus and Grafana

- Strong troubleshooting skills across storage performance, latency, disk failures, networking, and recovery

- Good understanding of CRUSH topology, failure domains, replication, and storage architecture

- Good English communication skills

Company offers:

- Long-term employment with possibilities for professional growth

- Fully remote work

- Reasonably flexible schedule

- 15 days of paid vacation

- Regular performance reviews

About This Role:

We're looking for a Senior, dbt-specialised Analytics Engineer to build and maintain the business-critical data models behind the client's credit, payments, and fraud/AML reporting. Our client is a fast-growing European fintech company in the business spend management space — corporate cards and related financial products — serving SME and mid-sized business customers across the EU and UK, in a regulated environment with GDPR compliance obligations. Engineering is organized into cross-functional squads, with platform/enabling teams providing shared tooling horizontally. The client already runs an AI-native engineering practice: Claude Code and GitHub Copilot are used daily, supported by a growing library of shared, versioned Skills embedded in key repositories, enabling an end-to-end flow from ticket to implementation, testing and PR in several codebases. AI tool/connector rollout follows an approved-list and pilot process. The client is AWS-first overall; for data platform and analytics workloads it also runs GCP, with BigQuery as the primary data warehouse. Day-to-day coordination is Slack-first, with Linear for ticket tracking, GitHub for code/PR review, and Notion as the knowledge base.

Key Responsibilities:

• Build and maintain business-critical dbt data models.
• Model data powering credit, payments, and fraud/AML reporting (working from aggregated/modeled data, not raw access to real customer/transaction data — see note above).
• Apply strong SQL and data-modelling skills.
• Multiply the output and quality of the squad you join, and share patterns/practice beyond your immediate team so adoption compounds across the organisation.
• Embed directly into a client squad as a hands-on Individual Contributor (not a coaching/managerial role).

Must-Have Skills:

• Experience with dbt.
• Strong SQL and data-modelling skills.
• Experience building and maintaining business-critical data models for credit, payments, and fraud/AML reporting.
• BigQuery — the client's stated primary data warehouse for data platform and analytics workloads.
• Experience with fintech domain. 

Nice-to-Have Skills:

• Git — standard, expected tooling, but not explicitly named in the RFP for this role.