Jobs Data & Analytics

We are seeking a Senior Data Engineer to join our Client's IT system house and European data center. Based in Düsseldorf, it supports the retail by providing IT services and developing IT solutions on an international level for the Client in Europe.
Your goal in the project is to develop an integration layer that will be an interface between the source and target systems for product, location and supplier data, and the master data management tool Syndigo.

Responsibilities:

• Take shared ownership in the development of the technical integration across Syndigo, legacy and downstream interfaces.
• Ensure data quality and mapping consistency between inbound source files and outbound update messages.
• Support production stability through monitoring, alerting, and dead-letter queue handling
• Build a maintainable and scalable solution that supports both initial load and ongoing update flows

Mandatory Skills:

* 8+ years of experience in Data Engineering
* AWS (DynamoDB, lambdas, SQS, EC, Fargate)
* CI/CD (Bitbucket, Jenkins)
* Python
* SQL
* Confluent Kafka
* Solid understanding of data flows, interfaces, mappings, and production support considerations
* Experience with data governance and master data management (Syndigo) is a strong advantage
* Clear communication
* Ownership
* Collaboration
* Problem-solving
* English C1

Nice-to-Have Skills Description:

* AWS certificates
* Prior experience in the fashion retail industry
* German

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

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

What do we guarantee?

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

We are currently looking for a Junior Data Engineer with Python and SQL skills to join our growing data team.

Across our projects, Python is the core skill we expect. Depending on your strengths, you may focus more on data engineering (pipelines, platforms, SQL) or data architecture (designing scalable data solutions). Many roles also include “full-solver” flexibility — contributing where needed, including automation, integration work, or enabling AI/GenAI use cases on modern platforms (including Microsoft technologies where relevant).

Key responsibilities:

• Data Pipeline Design & Development: Design, implement, and maintain scalable data pipelines and ETL/ELT processes, primarily using Python and Spark (PySpark), to ingest, transform, and deliver data from various sources into analytics and ML platforms.
• Data Modelling & Warehousing: Design and optimize data models (e.g. star/snowflake schemas), build and manage data warehouses and data lakes, and ensure data structures support reporting, analytics, and ML use cases.
• Data Preparation for ML: Collaborate closely with data scientists and ML engineers to understand data requirements, implement robust preprocessing and feature engineering steps, and ensure datasets are clean, consistent, and suitable for machine learning models.
• Performance & Reliability: Optimize data processing jobs and SQL queries for performance and cost efficiency, monitor data pipelines in production, and ensure reliability, scalability, and adherence to SLAs.
• Governance, Quality & Security: Implement data quality checks, validation frameworks, and governance standards; ensure data security, privacy, and compliance in line with PwC and client requirements.
• Learning & Development: Stay at the forefront of data engineering, big data, and cloud technologies, continuously improving existing solutions, tools, and processes.
• Mentorship: Support the growth of junior team members by sharing knowledge, reviewing code, and guiding them in data engineering best practices and project work.

Who We're Looking For:

• Programming Skills (Key Requirement)
  Strong programming skills in Python (e.g. pandas, PySpark, SQLAlchemy, airflow-like tools). Ability to write clean, maintainable, and testable code is essential. Experience with other programming languages is a plus.
• Demonstrated hands-on experience with building data pipelines, ideally using Spark (PySpark) or similar distributed processing frameworks.
• Designing and implementing ETL/ELT workflows.
• Working with large datasets and complex data transformations.
• Database Expertise: Proficiency in SQL databases (designing schemas, writing complex queries, optimization). 
• Cloud & Big Data (Nice to Have / Advantage): Experience with cloud data platforms (preferably Azure: Synapse, Databricks, Data Factory, Azure SQL, Data Lake) or similar services on AWS/GCP.
• Professional Background: At least 1-2 years of relevant professional experience in data engineering, BI engineering, or similar data-focused roles.
• Analytical Thinking: Strong analytical mindset with the ability to understand complex data landscapes, debug data issues, and design logical, efficient data flows.
• Language Skills: English at B2 level or higher.
  
  Policy statements:
  https://www.pwc.com/ua/uk/about/privacy.html

• досвід роботи бізнес-аналітиком в Agile-середовищі або за аналогічним фахом - від 3-х років;
• знання етапів життєвого циклу розробки програмного забезпечення;
• знання ключових задач та технік бізнес-аналізу;
• знання принципів протокольного обміну даними між інформаційними системами;
• навички аналізу, моделювання та опису бізнес-процесів (знання нотації BPMN);
• досвід виявлення, документування бізнес-вимог і трансформації їх у технічні завдання;
• вміння оформлювати бізнес-вимоги, технічні завдання, user stories та use cases;
• високий рівень комунікативних навичок для взаємодії з технічною та нетехнічною аудиторією.

920 Solutions is a rapidly growing technology company specializing in iGaming solutions. We build reliable, scalable, and secure infrastructure that powers gaming platforms across multiple international markets.

We are looking for an experienced DevOps Engineer with a strong background in online casino or iGaming companies to help us scale, maintain, and continuously improve our infrastructure.

What You'll Do

• Design, build, and maintain reliable CI/CD pipelines.
• Manage and optimize AWS cloud infrastructure, including EC2, RDS, S3, CloudFront, and related services.
• Deploy, maintain, and scale containerized applications using Docker and Kubernetes.
• Administer PostgreSQL databases, including backups, replication, performance tuning, and high availability.
• Monitor infrastructure, automate operational processes, and respond proactively to incidents.
• Ensure the stability, security, and high availability of production environments.
• Collaborate closely with development teams to improve deployment and operational workflows.

What We're Looking For

• 5+ years of experience as a DevOps Engineer or Infrastructure Engineer.
• At least 5 years of hands-on experience in the online casino or iGaming industry (required).
• Strong expertise in AWS and building cloud infrastructure.
• Proven experience with Docker and Kubernetes, including deployments, scaling, and troubleshooting.
• Deep knowledge of PostgreSQL administration, performance optimization, backup strategies, and high availability.
• Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, or similar.
• Strong Linux administration skills and Bash scripting experience.
• English proficiency sufficient for working in an international team.
• Experience using AI-powered development and automation tools is a plus.

Nice to Have

• Experience with Infrastructure as Code tools such as Terraform or CloudFormation.
• Hands-on experience with monitoring solutions including Prometheus, Grafana, CloudWatch, or similar.
• Experience implementing security best practices and infrastructure hardening.
• Solid understanding of CDN technologies, caching strategies, and high-traffic architectures.
• Experience supporting high-load production platforms serving large numbers of concurrent users.

If you're passionate about building reliable infrastructure, automating complex processes, and have proven experience working with online casino or iGaming products, we'd love to hear from you!

• Project Description:

  We are seeking a Senior Data Engineer to join our Client's IT system house and European data center. Based in Düsseldorf, it supports the retail by providing IT services and developing IT solutions on an international level for the Client in Europe.
  Your goal in the project is to develop an integration layer that will be an interface between the source and target systems for product, location and supplier data, and the master data management tool Syndigo.

• Responsibilities:

  • Take shared ownership in the development of the technical integration across Syndigo , legacy and downstream interfaces.
  • Ensure data quality and mapping consistency between inbound source files and outbound update messages.
  • Support production stability through monitoring, alerting, and dead-letter queue handling
  • Build a maintainable and scalable solution that supports both initial load and ongoing update flows

• Mandatory Skills Description:

  * 8+ years of experience in Data Engineering
  * AWS (DynamoDB, lambdas, SQS, EC, Fargate)
  * CI/CD (Bitbucket, Jenkins)
  * Python
  * SQL
  * Confluent Kafka
  * Solid understanding of data flows, interfaces, mappings, and production support considerations
  * Experience with data governance and master data management (Syndigo) is a strong advantage
  * Clear communication
  * Ownership
  * Collaboration
  * Problem-solving
  * English C1

• Nice-to-Have Skills Description:

  * AWS certificates
  * Prior experience in the fashion retail industry
  * German

• Languages:
  • English: C1 Advanced

• We are seeking a Senior Data Engineer to join our Client's IT system house and European data center. Based in Düsseldorf, it supports the retail by providing IT services and developing IT solutions on an international level for the Client in Europe.
  Your goal in the project is to develop an integration layer that will be an interface between the source and target systems for product, location and supplier data, and the master data management tool Syndigo.

   

• Responsibilities:

  • Take shared ownership in the development of the technical integration across Syndigo , legacy and downstream interfaces.
  • Ensure data quality and mapping consistency between inbound source files and outbound update messages.
  • Support production stability through monitoring, alerting, and dead-letter queue handling
  • Build a maintainable and scalable solution that supports both initial load and ongoing update flows

   

• Mandatory Skills Description:

  * 8+ years of experience in Data Engineering
  * AWS (DynamoDB, lambdas, SQS, EC, Fargate)
  * CI/CD (Bitbucket, Jenkins)
  * Python
  * SQL
  * Confluent Kafka
  * Solid understanding of data flows, interfaces, mappings, and production support considerations
  * Experience with data governance and master data management (Syndigo) is a strong advantage
  * Clear communication
  * Ownership
  * Collaboration
  * Problem-solving
  * English C1

   

• Nice-to-Have Skills Description:

  * AWS certificates
  * Prior experience in the fashion retail industry
  * German

• Languages:
  • English: C1 Advanced

Evowill is looking for a Junior Data Scientist who is passionate about data analysis, machine learning, and extracting insights from data, and eager to grow in a supportive and dynamic environment. We offer a clear path: starting with a hands-on internship and transitioning into a commercial project role — 100% of our juniors join real projects.

Requirements:

• Knowledge of Python
• SQL (MySQL / PostgreSQL)
• Basic understanding of Machine Learning (scikit-learn)
• Basic data analysis skills (Pandas, NumPy)
• Solid statistics foundations
• Git, GitHub/GitLab
• English: Intermediate
• Pet projects (data analysis / ML) 
• Fast learner, organized, responsible
  
   

Would be a plus:

• Quantitative Science (Math, physics, statistics) or Engineering with ML or modeling majors (3rd year or higher)
• Experience with statistical or numerical modeling or having participated in data related research teams
  
   

Internship Stage (2 months):

• Full-time, practical learning
• Pet projects, technical interview preparations, and soft skills training
• English Speaking Club
• Senior Developers mentors from Ukraine and Colombia
• Technologies: Core Data Analysis and Modeling, Python libraries, as well as learning to apply modern ML techniques to real-world data.

Project Stage:

• Join commercial projects as a Data Scientist
• Salary from $1000 with regular reviews
• Ongoing mentorship and technical support
• Optional English club and extra tech learning

About SpeedSize

SpeedSize powers the next generation of video-led e-commerce. Our patented psychovisual AI and AI-first delivery remove a compromise the industry has lived with for 30 years, speed or quality, so brands can serve full-quality video and imagery at a fraction of the size and load. We work with premium enterprise brands and we're scaling fast.

The role

You'll own the GTM OS: the systems that power our entire go-to-market motion across sales, marketing, partnerships, and the handoffs into finance, operating as one cohesive system fed by clean, structured, real-time data.

You'll transform HubSpot into a ledger for the entire company, deploy a PRM, deploy Sybill, and prepare the OS for AI agents (e.g. Gemini Enterprise). You'll build the reporting the company's divisions run on day to day, and own the data quality that holds it all together.

What you'll own

• HubSpot as the company ledger. Architect and build the object and data model, lifecycle states, pipelines, properties, and workflows so HubSpot becomes the ledger the entire company runs on.
• Context graph (Sybill). Deploy and own the context graph. It auto-populates HubSpot with clean, structured data and gives the entire company a unified, data-driven, customer-centric brain to query.
• Partner system (PRM, e.g. Introw.io). Deploy and own the PRM: data model, deal registration, attribution, partner workflows, and payouts.
• Data architecture, quality, and automation. Own enrichment, routing, scoring, and attribution, and automate lead capture, handoffs, lifecycle, and renewals so teams move without manual setup.
• Integrations and MCP. Connect the stack through APIs and prepare it for MCP access so it's ready for AI agents (e.g. Gemini Enterprise).
• Reporting and forecasting. Build the pipeline, forecasting, and attribution reporting the company's divisions run on day to day, and the data-quality standards that keep it trustworthy.

Who you are

• A GTM systems builder. You build revenue systems that compound. You sit where marketing handoffs meet sales execution and post-sale expansion, and you turn business problems into scalable systems.
• Fluent in HubSpot and the wider GTM stack. You know HubSpot cold as the system of record, and you've worked across CRM, automation, and data tooling to make a stack operate as one.
• AI-native. You think AI-first, you're comfortable with the technology, and you can design a data structure and systems built for the agentic future.
• Outcome-driven. Beyond knowing workflows, you tie every build to the business outcome it drives and ruthlessly prioritize your work against them.
• An owner. You think in outcomes and handoffs, and you run a domain end to end.

Requirements

• Proven experience building and owning GTM systems across sales and marketing
• Deep, hands-on HubSpot expertise as the system of record
• Experience deploying and integrating a PRM and the wider GTM stack
• Workflow automation, data architecture, and data-quality governance (enrichment, routing, scoring, attribution)
• API integration work and data modeling
• Revenue forecasting and pipeline analytics
• Familiarity with Google Workspace and Slack
• Plus: experience with agentic AI, MCP, and context graphs (Sybill)

How we work

You'll work directly with the SVP of Sales & GTM and closely with our CEO and CTO. We move fast, build from first principles, and expect owners.

REQUIREMENTS

• Location: Warsaw (office-based/hybrid).
• 5+ years of experience as a Business Analyst, Process Analyst, Business Process Automation Specialist, or in a similar role.
• Extensive experience analyzing business systems and processes, documenting the "as-is" state, and designing the "to-be" model.
• Strong experience in business process optimization, implementation, and continuous improvement.
• Good knowledge of BPMN and experience with process modeling, automation, and visualization tools.
• Experience working in medium to large organizations (ideally 100+ employees).
• Strong documentation skills with the ability to create and maintain clear, structured, and logical documentation in English.
• Solid understanding of software development and SDLC.
• Strong understanding of software testing processes and methodologies.
• Experience working closely with QA teams and a good understanding of testing workflows, test lifecycle, and quality assurance best practices.
• Experience with operational business processes, such as HR, Finance, Procurement, or administrative workflows, is a plus.
• Hands-on QA experience is a strong advantage but is not a mandatory requirement.
• Strong analytical thinking, a structured approach to problem-solving, and excellent communication skills.
• Upper-Intermediate (B2) or higher level of written and spoken English.

RESPONSIBILITIES

• Lead the analysis and optimization of business processes, with a primary focus on testing-related workflows.
• Conduct audits of existing business processes and document the current ("as-is") state.
• Design and document future ("to-be") processes and workflows aligned with business objectives and operational efficiency.
• Gather, analyze, and document business and functional requirements.
• Create clear process maps, documentation, and workflow visualizations using BPMN or similar methodologies.
• Identify opportunities for process automation, standardization, and continuous improvement.
• Drive the implementation of process improvements and support change management activities.
• Present proposed process changes to stakeholders across Engineering, QA, HR, Finance, and other business functions, ensuring alignment and successful adoption.
• Work closely with QA teams to analyze, optimize, and improve testing processes across the software development lifecycle.
• Validate implemented changes, measure their effectiveness, and continuously analyze outcomes to ensure process efficiency and business value.
• Stay up to date with industry best practices and proactively identify opportunities to improve workflows and operational excellence.

WE OFFER

• Competitive salary depending on your experience;
• Professional development opportunities;
• Study and practice of English: courses and communication with colleagues and clients from different countries;
• Compensation package (paid vacation, sick leaves);
• Comfortable office or possibility to work remotely.

If your qualifications and experience match the requirements of the position, our recruitment team will reach out to you in a week maximum. Please rest assured that we carefully consider each candidate, but due to the amount of applications the review and further processing of your candidacy may take some time.

About us:

DICEUS is a product company focused on building innovative SaaS solutions for the global insurance and financial services markets. Our mission is to modernize how insurers, brokers, MGAs, and other financial players operate through intelligent underwriting, seamless policy management, and digital engagement platforms. With clients across Europe, the Middle East, and North America, we are redefining how the industry delivers value through technology.

We are a product-focused insurance technology company developing:

• Policy Administration Systems (PAS)
• Underwriting Workbench (AI-enabled)
• Reinsurance platforms
• Captive and financial modules

Our clients include:

• Insurance carriers
• MGAs
• Reinsurers
• Captive insurance companies

About you:

We are looking for a hands-on specialist who will support outbound campaigns by building highly accurate target lists, enriching contact data, and executing first-touch outreach.

This role is focused on execution. You will work with structured processes and tools, collecting and validating data, identifying the right contacts, and supporting multi-channel outbound campaigns.

You will work directly with the outbound lead and follow a clear system.

Responsibilities:

1. Target List Building

• Research and identify companies within defined segments: MGA, captive managers, captives, multinational insurance players
• Build structured lists from: association directories, regulator websites, LinkedIn, industry sources
• Ensure: no duplicates, full coverage of the market

2. Data Verification

• Validate each company: confirm business type, confirm relevance to ICP
• Fill in key fields: website, location, business focus, LinkedIn
• Follow strict rules: no guessing, mark unknown instead of incorrect

3. Contact Research & Enrichment

• Find the right contacts for each company: leadership, operations, finance
• Collect: name, title, LinkedIn, email, phone (if available)
• Use tools: LinkedIn, Apollo / Lusha / Hunter / similar
• Verify emails before use

4. Data Management

• Maintain clean and structured spreadsheets
• Update CRM (e.g., HubSpot)
• Log all activities: contacts added, data verified, outreach actions

5. Process Execution

• Follow defined outbound processes and sequences
• Work in batches and maintain high accuracy

Requirements:

• 0,5-1 years of experience in: lead generation, research, outbound support
• Strong ability to: search and find information online, work with structured data, follow processes
• Experience with: LinkedIn, Excel / Google Sheets
• Basic experience with outbound tools or CRM is a plus

Nice to have:

• Experience with: Apollo, Lusha, Hunter, or similar tools, HubSpot or other CRM, AI tools such as ChatGPT
• Exposure to insurance, fintech, and B2B markets

We offer:

• Paid vacation (18 business days) and Statutory Holidays
• Paid sick leaves (10 business days)
• Non-paid days-off (10 business days)
• Professional growth and development opportunities
• Free English lessons

About us:

DICEUS is a product company focused on building innovative SaaS solutions for the global insurance and financial services markets. Our mission is to modernize how insurers, brokers, MGAs, and other financial players operate through intelligent underwriting, seamless policy management, and digital engagement platforms. With clients across Europe, the Middle East, and North America, we are redefining how the industry delivers value through technology.

We are a product-focused insurance technology company developing:

• Policy Administration Systems (PAS)
• Underwriting Workbench (AI-enabled)
• Reinsurance platforms
• Captive and financial modules

Our clients include:

• Insurance carriers
• MGAs
• Reinsurers
• Captive insurance companies

About you:

We are looking for a hands-on specialist who will support outbound campaigns by building highly accurate target lists, enriching contact data, and executing first-touch outreach including cold calls.

This role is focused on execution. You will work with structured processes and tools, collecting and validating data, identifying the right contacts, and supporting multi-channel outbound campaigns.

You will work directly with the outbound lead and follow a clear system.

Responsibilities:

1. Target List Building

• Research and identify companies within defined segments: MGA, captive managers, captives, multinational insurance players
• Build structured lists from: association directories, regulator websites, LinkedIn, industry sources
• Ensure: no duplicates, full coverage of the market

2. Data Verification

• Validate each company: confirm business type, confirm relevance to ICP
• Fill in key fields: website, location, business focus, LinkedIn
• Follow strict rules: no guessing, mark unknown instead of incorrect

3. Contact Research & Enrichment

• Find the right contacts for each company: leadership, operations, finance
• Collect: name, title, LinkedIn, email, phone (if available)
• Use tools: LinkedIn, Apollo / Lusha / Hunter / similar
• Verify emails before use

4. Data Management

• Maintain clean and structured spreadsheets
• Update CRM (e.g., HubSpot)
• Log all activities: contacts added, data verified, outreach actions

5. Process Execution

• Follow defined outbound processes and sequences
• Work in batches and maintain high accuracy

Requirements:

• 0,5-1 years of experience in: lead generation, research, outbound support
• Strong ability to: search and find information online, work with structured data, follow processes
• Experience with: LinkedIn, Excel / Google Sheets
• Basic experience with outbound tools or CRM is a plus

Nice to have:

• Experience with: Apollo, Lusha, Hunter, or similar tools, HubSpot or other CRM, AI tools such as ChatGPT
• Exposure to insurance, fintech, and B2B markets

We offer:

• Paid vacation (18 business days) and Statutory Holidays
• Paid sick leaves (10 business days)
• Non-paid days-off (10 business days)
• Professional growth and development opportunities
• Free English lessons

About us:

DICEUS is a product company focused on building innovative SaaS solutions for the global insurance and financial services markets. Our mission is to modernize how insurers, brokers, MGAs, and other financial players operate through intelligent underwriting, seamless policy management, and digital engagement platforms. With clients across Europe, the Middle East, and North America, we are redefining how the industry delivers value through technology.

We are a product-focused insurance technology company developing:

• Policy Administration Systems (PAS)
• Underwriting Workbench (AI-enabled)
• Reinsurance platforms
• Captive and financial modules

Our clients include:

• Insurance carriers
• MGAs
• Reinsurers
• Captive insurance companies

About you:

We are looking for a hands-on specialist who will support outbound campaigns by building highly accurate target lists, enriching contact data, and executing first-touch outreach including cold calls.

This role is focused on execution. You will work with structured processes and tools, collecting and validating data, identifying the right contacts, and supporting multi-channel outbound campaigns.

You will work directly with the outbound lead and follow a clear system.

Responsibilities:

1. Target List Building

• Research and identify companies within defined segments: MGA, captive managers, captives, multinational insurance players
• Build structured lists from: association directories, regulator websites, LinkedIn, industry sources
• Ensure: no duplicates, full coverage of the market

2. Data Verification

• Validate each company: confirm business type, confirm relevance to ICP
• Fill in key fields: website, location, business focus, LinkedIn
• Follow strict rules: no guessing, mark unknown instead of incorrect

3. Contact Research & Enrichment

• Find the right contacts for each company: leadership, operations, finance
• Collect: name, title, LinkedIn, email, phone (if available)
• Use tools: LinkedIn, Apollo / Lusha / Hunter / similar
• Verify emails before use

4. Data Management

• Maintain clean and structured spreadsheets
• Update CRM (e.g., HubSpot)
• Log all activities: contacts added, data verified, outreach actions

5. Process Execution

• Follow defined outbound processes and sequences
• Work in batches and maintain high accuracy

Requirements:

• 0,5-1 years of experience in: lead generation, research, outbound support
• Strong ability to: search and find information online, work with structured data, follow processes
• Experience with: LinkedIn, Excel / Google Sheets
• Basic experience with outbound tools or CRM is a plus

Nice to have:

• Experience with: Apollo, Lusha, Hunter, or similar tools, HubSpot or other CRM, AI tools such as ChatGPT
• Exposure to insurance, fintech, and B2B markets

We offer:

• Paid vacation (18 business days) and Statutory Holidays
• Paid sick leaves (10 business days)
• Non-paid days-off (10 business days)
• Professional growth and development opportunities
• Free English lessons

About us:

DICEUS is a product company focused on building innovative SaaS solutions for the global insurance and financial services markets. Our mission is to modernize how insurers, brokers, MGAs, and other financial players operate through intelligent underwriting, seamless policy management, and digital engagement platforms. With clients across Europe, the Middle East, and North America, we are redefining how the industry delivers value through technology.

We are a product-focused insurance technology company developing:

• Policy Administration Systems (PAS)
• Underwriting Workbench (AI-enabled)
• Reinsurance platforms
• Captive and financial modules

Our clients include:

• Insurance carriers
• MGAs
• Reinsurers
• Captive insurance companies

About you:

We are looking for a hands-on specialist who will support outbound campaigns by building highly accurate target lists, enriching contact data, and executing first-touch outreach including cold calls.

This role is focused on execution. You will work with structured processes and tools, collecting and validating data, identifying the right contacts, and supporting multi-channel outbound campaigns.

You will work directly with the outbound lead and follow a clear system.

Responsibilities:

1. Target List Building

• Research and identify companies within defined segments: MGA, captive managers, captives, multinational insurance players
• Build structured lists from: association directories, regulator websites, LinkedIn, industry sources
• Ensure: no duplicates, full coverage of the market

2. Data Verification

• Validate each company: confirm business type, confirm relevance to ICP
• Fill in key fields: website, location, business focus, LinkedIn
• Follow strict rules: no guessing, mark unknown instead of incorrect

3. Contact Research & Enrichment

• Find the right contacts for each company: leadership, operations, finance
• Collect: name, title, LinkedIn, email, phone (if available)
• Use tools: LinkedIn, Apollo / Lusha / Hunter / similar
• Verify emails before use

4. Data Management

• Maintain clean and structured spreadsheets
• Update CRM (e.g., HubSpot)
• Log all activities: contacts added, data verified, outreach actions

5. Process Execution

• Follow defined outbound processes and sequences
• Work in batches and maintain high accuracy

Requirements:

• 0,5-1 years of experience in: lead generation, research, outbound support
• Strong ability to: search and find information online, work with structured data, follow processes
• Experience with: LinkedIn, Excel / Google Sheets
• Basic experience with outbound tools or CRM is a plus

Nice to have:

• Experience with: Apollo, Lusha, Hunter, or similar tools, HubSpot or other CRM, AI tools such as ChatGPT
• Exposure to insurance, fintech, and B2B markets

We offer:

• Paid vacation (18 business days) and Statutory Holidays
• Paid sick leaves (10 business days)
• Non-paid days-off (10 business days)
• Professional growth and development opportunities
• Free English lessons

About us:

DICEUS is a product company focused on building innovative SaaS solutions for the global insurance and financial services markets. Our mission is to modernize how insurers, brokers, MGAs, and other financial players operate through intelligent underwriting, seamless policy management, and digital engagement platforms. With clients across Europe, the Middle East, and North America, we are redefining how the industry delivers value through technology.

We are a product-focused insurance technology company developing:

• Policy Administration Systems (PAS)
• Underwriting Workbench (AI-enabled)
• Reinsurance platforms
• Captive and financial modules

Our clients include:

• Insurance carriers
• MGAs
• Reinsurers
• Captive insurance companies

About you:

We are looking for a hands-on specialist who will support outbound campaigns by building highly accurate target lists, enriching contact data, and executing first-touch outreach including cold calls.

This role is focused on execution. You will work with structured processes and tools, collecting and validating data, identifying the right contacts, and supporting multi-channel outbound campaigns.

You will work directly with the outbound lead and follow a clear system.

Responsibilities:

1. Target List Building

• Research and identify companies within defined segments: MGA, captive managers, captives, multinational insurance players
• Build structured lists from: association directories, regulator websites, LinkedIn, industry sources
• Ensure: no duplicates, full coverage of the market

2. Data Verification

• Validate each company: confirm business type, confirm relevance to ICP
• Fill in key fields: website, location, business focus, LinkedIn
• Follow strict rules: no guessing, mark unknown instead of incorrect

3. Contact Research & Enrichment

• Find the right contacts for each company: leadership, operations, finance
• Collect: name, title, LinkedIn, email, phone (if available)
• Use tools: LinkedIn, Apollo / Lusha / Hunter / similar
• Verify emails before use

4. Data Management

• Maintain clean and structured spreadsheets
• Update CRM (e.g., HubSpot)
• Log all activities: contacts added, data verified, outreach actions

5. Process Execution

• Follow defined outbound processes and sequences
• Work in batches and maintain high accuracy

Requirements:

• 0,5-1 years of experience in: lead generation, research, outbound support
• Strong ability to: search and find information online, work with structured data, follow processes
• Experience with: LinkedIn, Excel / Google Sheets
• Basic experience with outbound tools or CRM is a plus

Nice to have:

• Experience with: Apollo, Lusha, Hunter, or similar tools, HubSpot or other CRM, AI tools such as ChatGPT
• Exposure to insurance, fintech, and B2B markets

We offer:

• Paid vacation (18 business days) and Statutory Holidays
• Paid sick leaves (10 business days)
• Non-paid days-off (10 business days)
• Professional growth and development opportunities
• Free English lessons

ABOUT THE ROLE

The Artificial Intelligence and Data Analytics Team is looking for a Senior MLOPS/DEVOPS Engineer. As a key member of the MLOPS team, your mission is to put science into decision making through machine learning initiatives.

Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to the following responsibilities:

• Leading the way how team handles MLOps topics
• Developing, researching and implementing MLOps frameworks, tools and platforms for our Data Science projects
• Designing and implementing infrastructure for machine learning cloud services
• Creating microservices for task-specific AI cloud services
• Implementing solutions for monitoring model performance and triggering alerts
• Enhancing speed of delivery, automating Model Retraining, Model Monitoring, Model Versioning, improving quality/security of code, and optimizing processes
• Collaborating with the data platform team to create a feedback loop and improve the underlying data infrastructure
• Partnering with peers to ensure scalability, business continuity and appropriate turnaround time
• Working on a backlog of activities to raise MLOps maturity in the organization. Evolve our framework as new technologies and techniques emerge
• Proactively introduce a modern, agile and automated approach to Data Science

Would be a plus:

• Experience in converting data science prototypes for deployment into production purposes
• Record of designing and implementing scalable, performant data and machine learning pipelines, services, and products
• Understanding of distributed data systems and experience in using open source frameworks to build applications
• Be able to communicate collaboratively with Data Scientist, Infrastructure teams and client to understand requirements and scope
• Solid intuition when choosing the right ML/AI approaches to the problems given
• Ability to influence non-technical peers and leadership to deliver substantive change
• Mentorship for less experienced colleagues and guardian of good standards
• Multidimensional skill set: data science, experimentation, AI, statistics, engineering, etc.
• Experience in front- and backend design and development (leveraging Django, Node.js, Streamlit or similar)
• Experience in CI/CD/CT pipeline implementation
• Good knowledge in shell scripting and networking

ABOUT YOU

Qualifications and Experience:

• MSc / MEng degree in Statistics, Computer Science, Automatic Control, STEM, Engineering or a related discipline
• 5+ years of professional experience, coding in Python or other languages
• 2+ experience in the operationalization of Data Science projects (MLOps) using Databricks+MLFlow,
• 5+ years of experience with cloud/devops stack (f.e AWS, Docker, Kubernetes),and ability to design complex architecture
• Hands-on experience with PySpark and SQL
• Working proficiency in English

WE OFFER:

• International and multicultural working environment.
• Supportive regional team and collaborative culture.
• Clear career ladder and opportunities for personal development.
• Opportunities to gain new skills and grow both vertically and horizontally.
• Foreign language skills development (access to corporate platforms and language classes).
• Development benefit with an annual learning budget.
• Balanced paid time off package, including sick leave, public holidays, and vacation days.
• Additional seniority-based leave.
• Maternity and paternity leave.
• Bonuses for key life events (childbirth, wedding).
• Comprehensive health and life insurance coverage.
• Monthly sport and wellbeing support. Including team sport events.
• Corporate vehicle purchase discounts (preferential pricing on Stellantis vehicles).
• Access to various external partner benefits and discounts.