Warehouse Manager Jobs in Bulgaria.
All active Warehouse Manager roles based in Bulgaria.
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About us:
Betty is an innovative entertainment company pioneering at the intersection of real money online casino and casual mobile gaming. Accredited by the Alcohol and Gaming Commission of Ontario (AGCO) as a B2C operator in February 2023, we've set a new standard in the industry. Our mission is to redefine the online casino experience by offering a uniquely transparent environment where players can relax, unwind, and enjoy themselves safely. We are committed to accessibility, fairness, and inclusivity, fostering a community of like-minded individuals who value ethical gaming practices and prioritize our players' safety and enjoyment above everything else.
Our Values:
- We are honest - we value honesty in all aspects.
- Bring the Olives - we offer premium customer experience.
- Think Big - we believe in always striving for more.
Key Responsibilities:
- Collaborate with cross-functional teams, including Engineering, and business stakeholders, to define and understand data requirements.
- Develop and maintain scalable data pipelines for loading data from different sources into the DWH.
- Optimize and fine-tune existing data processes for improved performance.
- Collaborate with infrastructure teams to implement scalable and secure data platform.
- Create and maintain reports for regulatory requirements and internal business needs.
- Evaluate and implement new technologies, tools, and frameworks to enhance data processing and storage capabilities.
- Mentor junior colleagues, providing guidance in data engineering best practices.
Requirements:
- Bachelor's degree in Computer Science, Data Science, or a related field.
- 3+ years of experience in a data warehouse engineering or related role.
- Experience with cloud data warehousing technologies, such as Amazon Redshift, Snowflake, or Google BigQuery.
- Good programming skills in Python.
- Proficiency with SQL and data modelling.
- Experience with pipeline orchestration tools (e.g., Airflow, Dagster).
- Understanding of CI/CD principles and experience implementing automated deployment processes.
- Excellent analytical and problem-solving skills.
- Strong communication and teamwork skills.
- Fluency in English.
Nice to have:
- Experience with DBT.
- Experience with stream processing frameworks (e.g., Apache Kafka).
- Experience with containerization technologies (e.g., Docker, Kubernetes).
- Experience with data visualization tools (e.g., Looker, Tableau, Power BI).
What we offer:
- Competitive salary
- Premium Health insurance
- Career and skills development opportunities
- Fun and collaborative team environment
- New modern office space
Ready to apply?
Apply to Betty
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.
Ready to apply?
Apply to Exadel
Senior Data Engineer (Databricks)
Share this job
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.
Ready to apply?
Apply to Exadel Inc (Website)
Critically, this role sits at the intersection of data, AI, and people. The ideal candidate will be as comfortable enabling a frontline sales rep to understand and act on a dashboard as they are presenting strategic insight to a C-suite audience. They will also be a confident and curious adopter of large language model (LLM) tools — using AI to accelerate their own analytical workflow and helping the wider business do the same.
Key Responsibilities
- Business Analysis & Stakeholder Partnership
- Act as the primary analytics partner to senior commercial stakeholders across Sales, Marketing, Customer Success, and Revenue Operations.
- Apply strong business analysis discipline — translating ambiguous business questions into well-scoped requirements, clear success criteria, and structured analytical briefs before any build begins.
- Proactively surface insights, trends, risks, and opportunities that inform decision-making at leadership level.
- Support strategic initiatives such as CRM consolidation, demand intelligence optimization, territory and book-of-business changes, and forecasting improvements.
- Own end-to-end project management of analytics deliverables — from requirements gathering and prioritization through to delivery, adoption, and iteration — ensuring stakeholders are informed and timelines are met
- Communication, Enablement & Influence
- Demonstrate exceptionally strong communication skills across all levels of the organisation — from crafting executive narratives for senior leadership forums to running hands-on enablement sessions for managers and frontline sales representatives.
- Translate complex data, AI outputs, and analytical findings into plain-language stories that drive clarity, confidence, and action.
- Design and deliver enablement programmes that help managers and reps understand, trust, and act on dashboards, KPIs, and AI-generated insights — building genuine data literacy across the Revenue Organisation rather than dependency on the BI team.
- Champion clear, consistent communication of what metrics mean, how they are calculated, and why they matter — removing ambiguity at every level.
- Influence without authority; build credibility with senior stakeholders through the quality of insight and the integrity of the underlying data.
- Analytics, Reporting & Insight
- Own the design and delivery of executive-level dashboards and self-service reporting, primarily using Power BI.
- Ensure consistent definitions and calculations for revenue KPIs, North Star metrics, and commercial performance indicators.
- Conduct deep-dive analyses to diagnose performance issues and recommend actionable next steps.
- Write and optimise advanced SQL queries to extract, transform, and validate data across our Databricks data warehouse and connected source systems.
- Leverage Databricks as the central analytical platform — working within notebooks, SQL warehouses, and the broader Lakehouse environment to build reliable, scalable analytical outputs.
- AI & LLM Integration
- Be a power user and internal advocate of LLM-based tools, including Microsoft Copilot and Anthropic Claude (including Claude Code), using them to accelerate analysis, generate and review SQL, draft communications, and surface insight more efficiently.
- Help define and create LLM agents for the Go To Market organisation – connecting context to frontline AI tools such as MS Copilot and Salesloft.
- Proactively identify opportunities to embed LLM and AI capabilities into BI workflows, dashboards, and analytical processes — raising the ceiling of what the team can deliver.
- Work with the Senior Manager of BI to evaluate and scale AI-assisted analytics approaches across the team, including the use of Databricks' native LLM and AI capabilities.
- Help commercial stakeholders and frontline teams understand and appropriately trust AI-generated outputs — building confidence in AI tools through clear explanation, demonstration, and enablement.
- Data Modelling & Quality
- Partner with Data Analytics Engineers to define analytical data models that support revenue, pipeline, customer lifecycle, and performance reporting.
- Validate data accuracy and integrity across the analytics layer, proactively identifying and resolving issues before they impact decision-making.
- Contribute to data governance standards, metric documentation, and reporting best practices.
- Technology & Tooling Context
-
- The Lead Business Analyst will work within a modern BI and revenue intelligence stack, including:
- Layer Tools
- Data Warehouse & Analytics Databricks (central data warehouse with LLM capabilities)
- BI & Visualisation Power BI
- AI & LLM Tooling Microsoft Copilot, Anthropic Claude, Claude Code, Databrick Genie, Databricks hosted LLM models
- Core Commercial Systems Salesforce (multiple instance), PlanHat, &
- Revenue & Demand
- Intelligence Clay
- Sales Enablement &
- Engagement Salesloft (including AI and conversational intelligence) & HighSpot
- A strong understanding of how these systems connect — and how data flows end-to-end from source systems to executive dashboards and frontline tools — is essential.
-
- Required Experience & Skills
-
- 8+ years of experience in a Business Analysis, Analytics, or BI within a SaaS or technology-driven organisation.
- Experience supporting RevOps, Sales Operations, or Commercial Analytics teams.
- Advanced SQL skills — comfortable writing complex queries, debugging data issues, and working directly within a cloud data warehouse environment; Databricks experience strongly preferred.
- Strong business analysis capability — proven ability to scope, structure, and document analytical requirements with rigour before moving into delivery.
- Proven project management skills — able to manage multiple concurrent workstreams, set and meet deadlines, and maintain clear stakeholder communication throughout.
- Exceptionally strong communication skills — a natural and compelling communicator in written and verbal form, equally effective presenting strategy to a VP as running a training session for a team of account executives.
- Demonstrated experience designing and delivering stakeholder enablement on data, dashboards, or analytics tooling — not just building outputs, but ensuring they are understood and adopted.
- Proven experience delivering executive-ready dashboards and self-service reporting (Power BI preferred).
- Strong commercial and revenue-focused business acumen.
- Active and confident user of LLM tools such as Microsoft Copilot or Anthropic Claude in a professional analytical context.
- Preferred Experience
-
- Hands-on experience with Databricks — including SQL warehouses, notebooks, and the Lakehouse architecture.
- Experience using Claude Code or similar AI coding assistants to accelerate SQL development, data validation, or analytical scripting.
- Familiarity with CRM and GTM analytics — Salesforce, pipeline reporting, forecasting, MEDDPICC, territory models.
- Hands-on Experience with Clay
- Ideally experience with Python (e.g. connecting to APIs)
- Exposure to building or scaling data literacy programmes within a commercial organisation.
- What Success Looks Like
- Leaders trust the dashboards and insights/recommendations produced and use them to run the business with confidence.
- Managers and frontline reps understand and act on data, insights, and AI outputs — because this role has invested in enabling them, not just building for them.
- KPIs and metrics are clearly defined, consistently applied, and widely adopted across the organisation.
- LLM and AI tools are meaningfully embedded into BI workflows, improving speed, quality, and reach of analytical output.
- The BI team is seen as a strategic partner — not just a reporting function.
- Data quality issues are proactively identified and resolved before impacting decision-making.
- Projects are delivered on time, with clear communication and minimal surprises for stakeholders.
Ready to apply?
Apply to Cision
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.
Ready to apply?
Apply to Exadel
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.
Ready to apply?
Apply to Exadel
Senior Data Scientist
Share this job
MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.
About the Role
We're hiring a Senior Data Scientist with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You'll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions.
This is a hands-on, high-autonomy role. You'll work across the full data stack-writing sophisticated SQL in BigQuery and MariaDB, building automation and tooling in Python, and leveraging AI-powered tools like Windsurf, Gemini, and Claude to work faster and smarter. You'll be expected to understand how data is structured end-to-end, from source systems through to the warehouse, and to know which analytical approach fits which business question.
You'll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what's possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and you're the kind of person who's always learning the next thing-we'd love to hear from you.
Key Responsibilities
- Apply the right analytical methods-statistical analysis, regression, clustering, forecasting, classification-to solve real business problems at scale
- Design and build end-to-end analytical solutions-from data extraction in BigQuery and MariaDB to actionable insights and automated reporting
- Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL
- Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate experimentation, code generation, and analysis
- Leverage the latest AI features and tools (LLMs, embeddings, generative AI) to augment and automate analytical workflows
- Build lightweight applications and APIs (FastAPI) to put models and insights into the hands of stakeholders
- Own the data architecture decisions within your domain-schema design, data modeling, and pipeline reliability
- Communicate results, trade-offs, and recommendations clearly to both technical and business audiences
- Map and improve business processes through data-driven analysis and process design
Requirements & Qualifications
- 7+ years of professional experience in data science, advanced analytics, or a quantitative field
- Expert-level SQL - deep fluency in BigQuery and MariaDB or similar data platforms; you understand query optimization, partitioning, and data modeling
- Strong Python and/or JavaScript skills - production-quality code, not just notebooks; experience with modern data and ML libraries
- Deep understanding of analytical methods - regression, clustering, time series, A/B testing, classification; you know when to apply what and why
- Solid understanding of data architecture - how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads
- Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you leverage AI assistants as a core part of your workflow
- Excellent communication skills - you present complex technical work in a way that drives decisions
- Self-managing and self-sufficient - you set your own priorities, unblock yourself, and deliver without hand-holding
- Relentlessly curious and ambitious - you're always learning, always building, always improving
- A public GitHub profile showcasing your projects, experiments, or contributions
Nice to Have
- Experience with Next.js or modern frontend frameworks for building data-facing applications
- FastAPI experience for serving models or internal tooling
- Background in business process analysis or operational process design
- Experience working across multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - broad organizational exposure is a big plus
- Experience with JSON-based data formats, APIs, and integration patterns
- Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus
Benefits & Culture
- Globally distributed team environment
- Remote or hybrid work options (location-dependent)
- Challenging projects with company-wide impact
- Competitive compensation, 25 days paid annual leave, plus holidays
- A culture that values curiosity, clean engineering, and people who genuinely love what they do
Location – India (remote)
Travel – Flexible for adhoc travel
What's in it for you?
Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry.
You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.
Salaries for candidates outside the U.S. will vary based on local compensation structures.
How to Apply
If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.
- At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
- MariaDB does not sponsor work visas or relocation.
- MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
- MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.
Ready to apply?
Apply to MariaDB plc
Senior Data Scientist
Share this job
MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.
About the Role
We're hiring a Senior Data Scientist with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You'll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions.
This is a hands-on, high-autonomy role. You'll work across the full data stack-writing sophisticated SQL in BigQuery and MariaDB, building automation and tooling in Python, and leveraging AI-powered tools like Windsurf, Gemini, and Claude to work faster and smarter. You'll be expected to understand how data is structured end-to-end, from source systems through to the warehouse, and to know which analytical approach fits which business question.
You'll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what's possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and you're the kind of person who's always learning the next thing-we'd love to hear from you.
Key Responsibilities
- Apply the right analytical methods-statistical analysis, regression, clustering, forecasting, classification-to solve real business problems at scale
- Design and build end-to-end analytical solutions-from data extraction in BigQuery and MariaDB to actionable insights and automated reporting
- Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL
- Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate experimentation, code generation, and analysis
- Leverage the latest AI features and tools (LLMs, embeddings, generative AI) to augment and automate analytical workflows
- Build lightweight applications and APIs (FastAPI) to put models and insights into the hands of stakeholders
- Own the data architecture decisions within your domain-schema design, data modeling, and pipeline reliability
- Communicate results, trade-offs, and recommendations clearly to both technical and business audiences
- Map and improve business processes through data-driven analysis and process design
Requirements & Qualifications
- 7+ years of professional experience in data science, advanced analytics, or a quantitative field
- Expert-level SQL - deep fluency in BigQuery and MariaDB or similar data platforms; you understand query optimization, partitioning, and data modeling
- Strong Python and/or JavaScript skills - production-quality code, not just notebooks; experience with modern data and ML libraries
- Deep understanding of analytical methods - regression, clustering, time series, A/B testing, classification; you know when to apply what and why
- Solid understanding of data architecture - how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads
- Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you leverage AI assistants as a core part of your workflow
- Excellent communication skills - you present complex technical work in a way that drives decisions
- Self-managing and self-sufficient - you set your own priorities, unblock yourself, and deliver without hand-holding
- Relentlessly curious and ambitious - you're always learning, always building, always improving
- A public GitHub profile showcasing your projects, experiments, or contributions
Nice to Have
- Experience with Next.js or modern frontend frameworks for building data-facing applications
- FastAPI experience for serving models or internal tooling
- Background in business process analysis or operational process design
- Experience working across multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - broad organizational exposure is a big plus
- Experience with JSON-based data formats, APIs, and integration patterns
- Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus
Benefits & Culture
- Globally distributed team environment
- Remote or hybrid work options (location-dependent)
- Challenging projects with company-wide impact
- Competitive compensation, 25 days paid annual leave, plus holidays
- A culture that values curiosity, clean engineering, and people who genuinely love what they do
Location – Romania (remote)
Travel – Flexible for adhoc travel
What's in it for you?
Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry.
You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.
Salaries for candidates outside the U.S. will vary based on local compensation structures.
How to Apply
If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.
- At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
- MariaDB does not sponsor work visas or relocation.
- MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
- MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.
Ready to apply?
Apply to MariaDB plc
Senior Data Analytics Engineer
Share this job
MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.
About the Role
We're looking for a Senior Data Analytics Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business.
Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable.
Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you.
Key Responsibilities
- Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB
- Write sophisticated, performant SQL to extract insights from large-scale datasets
- Leverage AI and machine learning features to augment analytics workflows and deliver smarter outputs
- Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level
- Develop internal tooling and automation using Python, FastAPI, and modern frameworks
- Communicate findings clearly to technical and non-technical stakeholders-translate data into action
- Understand and document data architecture, lineage, and how information flows across systems
- Collaborate on business process analysis and process design improvements driven by data
- Proactively identify opportunities for deeper analysis, better tooling, and operational improvements
Requirements & Qualifications
- 7+ years of professional experience in data analytics engineering, data engineering, or a related field
- Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred
- Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts
- js experience - ability to build data-facing web applications and internal dashboards
- Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve
- Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically
- Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch
- Excellent communication skills - you can explain complex analysis to anyone in the room
- Self-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next
- Ambitious and continuously improving - you seek out new skills, tools, and techniques on your own
- A public GitHub profile with examples of your work (personal projects, contributions, experiments)
Nice to Have
- FastAPI experience for building internal APIs and services
- Background in business process design or operational analytics
- Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo
- Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus
Location – Bulgaria (Hybrid, Sofia)
Travel - As required for the job (minimal).
What's in it for you?
Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry.
You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.
Salaries for candidates outside the U.S. will vary based on local compensation structures.
How to Apply
If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.
- At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
- MariaDB does not sponsor work visas or relocation.
- MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
- MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.
Ready to apply?
Apply to MariaDB plc
Senior Data Analytics Engineer
Share this job
MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.
About the Role
We're looking for a Senior Data Analytics Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business.
Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable.
Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you.
Key Responsibilities
- Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB
- Write sophisticated, performant SQL to extract insights from large-scale datasets
- Leverage AI and machine learning features to augment analytics workflows and deliver smarter outputs
- Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level
- Develop internal tooling and automation using Python, FastAPI, and modern frameworks
- Communicate findings clearly to technical and non-technical stakeholders-translate data into action
- Understand and document data architecture, lineage, and how information flows across systems
- Collaborate on business process analysis and process design improvements driven by data
- Proactively identify opportunities for deeper analysis, better tooling, and operational improvements
Requirements & Qualifications
- 7+ years of professional experience in data analytics engineering, data engineering, or a related field
- Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred
- Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts
- js experience - ability to build data-facing web applications and internal dashboards
- Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve
- Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically
- Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch
- Excellent communication skills - you can explain complex analysis to anyone in the room
- Self-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next
- Ambitious and continuously improving - you seek out new skills, tools, and techniques on your own
- A public GitHub profile with examples of your work (personal projects, contributions, experiments)
Nice to Have
- FastAPI experience for building internal APIs and services
- Background in business process design or operational analytics
- Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo
- Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus
Location – Romania (remote)
Travel - As required for the job (minimal).
What's in it for you?
Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry.
You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.
Salaries for candidates outside the U.S. will vary based on local compensation structures.
How to Apply
If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.
- At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
- MariaDB does not sponsor work visas or relocation.
- MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
- MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.
Ready to apply?
Apply to MariaDB plc
Senior Data Analytics Engineer
Share this job
MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.
About the Role
We're looking for a Senior Data Analytics Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business.
Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable.
Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you.
Key Responsibilities
- Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB
- Write sophisticated, performant SQL to extract insights from large-scale datasets
- Leverage AI and machine learning features to augment analytics workflows and deliver smarter outputs
- Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level
- Develop internal tooling and automation using Python, FastAPI, and modern frameworks
- Communicate findings clearly to technical and non-technical stakeholders-translate data into action
- Understand and document data architecture, lineage, and how information flows across systems
- Collaborate on business process analysis and process design improvements driven by data
- Proactively identify opportunities for deeper analysis, better tooling, and operational improvements
Requirements & Qualifications
- 7+ years of professional experience in data analytics engineering, data engineering, or a related field
- Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred
- Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts
- js experience - ability to build data-facing web applications and internal dashboards
- Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve
- Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically
- Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch
- Excellent communication skills - you can explain complex analysis to anyone in the room
- Self-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next
- Ambitious and continuously improving - you seek out new skills, tools, and techniques on your own
- A public GitHub profile with examples of your work (personal projects, contributions, experiments)
Nice to Have
- FastAPI experience for building internal APIs and services
- Background in business process design or operational analytics
- Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo
- Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus
Location – India (remote)
Travel - As required for the job (minimal).
What's in it for you?
Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry.
You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.
Salaries for candidates outside the U.S. will vary based on local compensation structures.
How to Apply
If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.
- At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
- MariaDB does not sponsor work visas or relocation.
- MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
- MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.
Ready to apply?
Apply to MariaDB plc
Senior Data Scientist
Share this job
MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.
About the Role
We're hiring a Senior Data Scientist with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You'll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions.
This is a hands-on, high-autonomy role. You'll work across the full data stack-writing sophisticated SQL in BigQuery and MariaDB, building automation and tooling in Python, and leveraging AI-powered tools like Windsurf, Gemini, and Claude to work faster and smarter. You'll be expected to understand how data is structured end-to-end, from source systems through to the warehouse, and to know which analytical approach fits which business question.
You'll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what's possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and you're the kind of person who's always learning the next thing-we'd love to hear from you.
Key Responsibilities
- Apply the right analytical methods-statistical analysis, regression, clustering, forecasting, classification-to solve real business problems at scale
- Design and build end-to-end analytical solutions-from data extraction in BigQuery and MariaDB to actionable insights and automated reporting
- Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL
- Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate experimentation, code generation, and analysis
- Leverage the latest AI features and tools (LLMs, embeddings, generative AI) to augment and automate analytical workflows
- Build lightweight applications and APIs (FastAPI) to put models and insights into the hands of stakeholders
- Own the data architecture decisions within your domain-schema design, data modeling, and pipeline reliability
- Communicate results, trade-offs, and recommendations clearly to both technical and business audiences
- Map and improve business processes through data-driven analysis and process design
Requirements & Qualifications
- 7+ years of professional experience in data science, advanced analytics, or a quantitative field
- Expert-level SQL - deep fluency in BigQuery and MariaDB or similar data platforms; you understand query optimization, partitioning, and data modeling
- Strong Python and/or JavaScript skills - production-quality code, not just notebooks; experience with modern data and ML libraries
- Deep understanding of analytical methods - regression, clustering, time series, A/B testing, classification; you know when to apply what and why
- Solid understanding of data architecture - how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads
- Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you leverage AI assistants as a core part of your workflow
- Excellent communication skills - you present complex technical work in a way that drives decisions
- Self-managing and self-sufficient - you set your own priorities, unblock yourself, and deliver without hand-holding
- Relentlessly curious and ambitious - you're always learning, always building, always improving
- A public GitHub profile showcasing your projects, experiments, or contributions
Nice to Have
- Experience with Next.js or modern frontend frameworks for building data-facing applications
- FastAPI experience for serving models or internal tooling
- Background in business process analysis or operational process design
- Experience working across multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - broad organizational exposure is a big plus
- Experience with JSON-based data formats, APIs, and integration patterns
- Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus
Benefits & Culture
- Globally distributed team environment
- Remote or hybrid work options (location-dependent)
- Challenging projects with company-wide impact
- Competitive compensation, 25 days paid annual leave, plus holidays
- A culture that values curiosity, clean engineering, and people who genuinely love what they do
Location – Bulgaria (remote)
Travel – Flexible for adhoc travel
What's in it for you?
Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry.
You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.
Salaries for candidates outside the U.S. will vary based on local compensation structures.
How to Apply
If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.
- At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
- MariaDB does not sponsor work visas or relocation.
- MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
- MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.
Ready to apply?
Apply to MariaDB plc
About Us:
Delasport is where technology meets the excitement of sports and gaming! As a leading powerhouse in iGaming software, we provide everything from platform development to player account management. Our platform is designed to make every player feel like the star of the show, with personalized experiences and cutting-edge technology at its heart.
Since our founding in 2010, we have won multiple international awards and have established a proven track record of excellence, stability, and overall success. This achievement only drives us to reach even greater heights. Currently, we are proud to have over 500 experts across various business fields and several offices in Bulgaria (Sofia and Plovdiv), Ukraine, and Malta.
Your Role:
We’re looking for a strategic and hands-on Business Intelligence Manager to lead our BI function during a critical and exciting phase of our data evolution.
You’ll play a key role in our migration to a modern cloud lakehouse architecture on BigQuery, helping shape how data is delivered, consumed, and used across the organization.
This role is based in Sofia, and we welcome candidates who are open to relocating (relocation support provided).
How You’ll Make an Impact:
- Lead and mentor a team of BI professionals to deliver scalable, accurate, and timely data solutions.
- Design, build, and optimize ETL/ELT processes to ensure efficient data integration across diverse sources.
- Drive the design and development of reports, dashboards, and self-service tools that empower business stakeholders.
- Collaborate cross-functionally with engineering, product, and business teams to align data capabilities with company goals.
- Play a central role in our transition to a BigQuery-based lakehouse, helping modernize how we store, process, and serve data.
- Ensure data governance, quality, and reliability across all BI outputs.
- Translate business needs into technical solutions with a focus on scalability, maintainability, and performance.
Who You Are:
- 7+ years of experience in BI, data analytics, or data engineering, with at least 2 years in a leadership role.
- Proven experience designing and implementing BI strategies in a cloud-based data environment.
- Hands-on expertise with cloud data warehouse architectures, especially BigQuery or similar platforms.
- Strong command of SQL and data modelling best practices, Python would be considered an advantage.
- Experience with modern BI tools such as Power BI, Looker, Tableau, or similar.
- Skilled at building and scaling data teams and fostering a high-performance culture.
- Excellent communicator who can translate complex data concepts into business insights.
- Passionate about leveraging data to drive decisions and improve business outcomes.
What We Offer:
We’re not just about work, we are about creating a great place to grow, connect, and enjoy the journey. Here’s what you can expect when you join us:
- Competitive Salary Package: We value your skills, dedication, and contributions
- Time Off: Enjoy 21+ days of annual paid leave so you can rest, recharge, and come back inspired
- Bonus & Rewards: Performance-based annual bonuses, special vouchers for birthdays and welcoming a newborn
- Health & Wellness: Additional Health insurance including dental care; Co-funding a Multisport/Coolfit card to help you stay active
- Extra Benefits: Employee discounts at various retailers and a monthly allowance for public transportation
- Great Office Locations: Central office location in Sofia and Plovdiv
- Relax & Recharge Zone: Take a break with colleagues in our PlayStation and Pool Area - perfect for recharging during the day
Wait, there’s more:
- Happy Hour Fridays: Every Friday we host themed Happy Hours with snacks, fun activities, and plenty of opportunities to connect and unwind with colleagues
- Multicultural Days: Celebrate diversity and experience the traditions, food, and cultures of teammates from around the world
- Massages at the Office: Weekly Free Recreational Massages to help relax during the workday
- Chess Lessons: Sharpen your strategic thinking and enjoy some friendly competition with colleagues
- Sports & Football Team: We regularly participate in various sports events and have our own Delasport Football Team, competing in the IT League
- Bulgarian Language Lessons: Bulgarian for Foreigners classes to support smoother communication
- Office Library: Enjoy access to technical literature to expand your knowledge
Ready to Be Part of Something Big?
If you’re excited to join a team that’s revolutionizing the iGaming world and want to make a real impact, apply today. We can’t wait to meet you!
#LI-HYBRID
Ready to apply?
Apply to Delasport