The position is in the Enterprise Business Intelligence Department (Romanian team), responsible for developing company-wide solutions for measuring, evaluating, and managing operational and strategic business objectives, part of our sister’s companies in Germany, 1&1 Telecommunications SE.

Main responsibilities:

• Design, develop, and maintain data pipelines and ETL processes using MS SQL Server, and Python, ensuring reliable data movement from source systems to the data warehouse and analytical layers.
• Build and operate real-time and near-real-time data ingestion pipelines using Apache Kafka — designing topics, building producers and consumers, and managing stream processing workflows.
• Develop and optimize stored procedures, views, and data transformation logic for both backend processing and frontend consumption (SSAS, Power BI).
• Write and maintain Python-based data services and integrations, leveraging libraries such as sqlalchemy, pyodbc, confluent_kafka, json, and FastAPI to connect, transform, and expose data across systems.
• Perform requirements analysis and effort estimation within projects and implement solutions as part of an international, cross-functional team.
• Collaborate closely with BI analysts and architects to translate business requirements into robust, scalable data solutions.
• Support Business Analysts with ad-hoc analyses on large data volumes, complex data models, and data extraction from operational systems.
• Design, code, test, debug, document, and support all types of data flows and transformation procedures consistent with established specifications and business requirements to deliver maximum business value.
• Support, enhance, and modify existing applications, pipelines, and codebases.

What we're looking for:

Core skills:

• Well-rounded knowledge of data warehousing and Business Intelligence concepts, including physical data modeling techniques specific to data warehouse requirements.
• Strong experience with MS SQL Server — database implementation, performance tuning, and writing efficient queries on large data volumes.
• Solid Python programming skills, with hands-on experience building data pipelines, REST APIs, and integration scripts using libraries such as sqlalchemy, pyodbc, confluent_kafka, json, and FastAPI.
• Experience with Apache Kafka — designing and managing topics, building producers and consumers, and working with Kafka Streams or similar stream-processing patterns.
• Ability to collaborate effectively with team members and cross-functional stakeholders in an international environment.

Nice to have:

• Mastery of SQL on large data volumes (complex joins, window functions, query optimization).
• Experience building and exposing REST APIs for data services (FastAPI or similar frameworks).
• Previous working experience in telecommunications (4G/5G).
• Familiarity with Microsoft BI tools (SSAS, Power BI).
• Experience with event-driven architectures and message queue patterns beyond Kafka.

What we offer:

• Access to local/international trainings, development and growth opportunities, including access to e-learning platforms, covering both technical and soft skills areas;
• Modern technologies, product responsibility;
• Flexible work schedule;
• Hybrid work option;
• Medical services package from one of two private providers;
• 25 vacation days per year;
• Substitute days off for public holidays that occur on the weekend;
• Meal tickets;
• Internal referral program;
• Team events, networking events organized to promote a passionate, creative and diverse culture;
• Summerfest and Winterfest parties;
• Of course, coffee, soft drinks and fresh fruits are on us in the office.

The position is in the Enterprise Business Intelligence Department (Romanian team), responsible for developing company-wide solutions for measuring, evaluating, and managing operational and strategic business objectives, part of our sister’s companies in Germany, 1&1 Telecommunications SE.

Main responsibilities:

• Design, implement, and maintain scalable data pipelines and workflows using Azure Databricks and the broader Azure data platform (Data Factory, Data Lake Storage, Azure SQL), ensuring reliability, performance, and cost efficiency
• Develop and optimize data transformation logic using PySpark and SQL within Databricks, handling large-scale datasets across batch and streaming workloads
• Build and maintain data movement procedures, views, and flows for both frontend and backend systems, leveraging MS SQL Server, SSAS, Power BI, and Azure cloud services
• Collaborate closely with BI analysts and architects to translate business requirements into robust data engineering solutions; implement new ideas and improvements driven by that collaboration
• Perform requirement analyses and effort estimations within projects and deliver solutions as part of an international team
• Support Business Analysts with ad-hoc analyses on large data volumes, complex data models, and data extraction from operational systems
• Design, code, test, debug, document, and support all types of data flows and transformation procedures consistent with established specifications and business requirements to deliver maximum business value
• Support, enhance, and modify existing applications, codebases, and data pipelines

What we're looking for:

Core Skills:

• Solid experience with Azure Databricks — notebook development, job orchestration, cluster management, Delta Lake
• Experience with the Azure cloud platform — Data Factory, Data Lake Storage Gen2, Azure SQL, Key Vault, and related services
• Strong proficiency in SQL and PySpark, with the ability to write performant, production-grade code against large data volumes
• Well-rounded knowledge of data warehousing and Business Intelligence concepts, physical data modeling techniques, and the specific requirements of data warehouse architectures
• Knowledge of physical database implementation and performance tuning based on logical data models
• Ability to collaborate effectively with team members and cross-functional stakeholders

Nice to have:

• Mastery of SQL performance optimization on very large datasets
• Previous working experience in telecommunications (4G/5G)
• Experience with MS SQL Server tooling (SSAS, Power BI)
• Familiarity with CI/CD practices for data pipelines (e.g., Databricks Asset Bundles, Azure DevOps)

What we offer:

• Access to local/international trainings, development and growth opportunities, including access to e-learning platforms, covering both technical and soft skills areas;
• Modern technologies, product responsibility;
• Flexible work schedule;
• Hybrid work option;
• Medical services package from one of two private providers;
• 25 vacation days per year;
• Substitute days off for public holidays that occur on the weekend;
• Meal tickets;
• Internal referral program;
• Team events, networking events organized to promote a passionate, creative and diverse culture;
• Summerfest and Winterfest parties;
• Of course, coffee, soft drinks and fresh fruits are on us in the office.

We’re looking for a motivated and hands-on Mechanic who will ensure that our fleet of e-scooters is always maintained at the highest quality. This is a full-time employment opportunity.

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

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

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

You’ll be in charge of quickly and efficiently identifying and fixing any damage to our fleet of vehicles. You have a keen eye for detail and will ensure that every ride on our e-scooter is safe and reliable.

In addition, you’ll perform thorough safety tests on our vehicles to make sure that they are roadworthy. We aim to provide customers with a top-notch transport experience, and your dedication to maintaining high safety standards will help us achieve this.

• Ensuring the highest quality for our e-scooters by conducting general repair work and check-ups.
• Inspecting the e-scooters in use and identifying problems within the different parts of the product. 
• Testing e-scooters before releasing them to ensure their quality and safety standards. 
• Putting new e-scooters into service: unpacking, doing quality checks, adding necessary equipment, ensuring safety, and troubleshooting.
• Assisting with warehouse operations, including inventory and battery management, shipments, and general housekeeping. 

• You demonstrate a high level of attentiveness and accuracy in your work. 
• You possess the knowledge and skills to operate various hand and power tools.
• Your proactive approach and willingness to take ownership of challenges are reflected in your hands-on work.
• You have experience in repairing mechanical devices, particularly in the automotive or electronic repair fields.
• You have solid local language skills and experience using smartphones.
• Having English skills is an advantage.

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

• Play a direct role in shaping the future of mobility.
• Work in fast-moving teams with some of the smartest people in the world
• Accelerate your professional growth with unique career opportunities.
• Take advantage of Bolt credits to ride our scooter and use our ride-hailing services for free.
• Enjoy various team events to get to know your colleagues.

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

Role Overview

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

Key Responsibilities

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

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

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

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

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

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

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

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

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

Skills and Qualifications

About the job

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

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

What you will be doing, your legacy: 

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

Responsibilities:

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

Qualifications:

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

Preferred Qualifications:

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

What we offer: 

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

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

About Onapsis:

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

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

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

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