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Pre-Sales Engineer / Solution Engineer m/w/d

Key Responsibilities:

Technical Advisory & Consultation: Serve as the primary technical point of contact and trusted advisor for prospective customers, providing expert guidance on capabilities and how they align with customer needs.
Solution Design & Architecture: Collaborate with customers to understand their data landscape, business requirements, and analytical objectives, and design optimal solution architectures.
Sales Collaboration: Partner with sales teams to qualify new opportunities, conduct technical discoveries, and develop compelling value propositions.
Proof of Value (POV) Execution: Lead and execute Proof of Concepts/Values (POCs/POVs) to demonstrate the tangible benefits of Exasol, including performance benchmarks, scalability, and ease of use.
Product Demonstrations: Deliver engaging and tailored product demonstrations to technical and business audiences, showcasing features and functionalities within the context of customer use cases.
Technical Expertise: Provide hands-on support, including data loading, tool integration, and complex SQL query optimization, to facilitate successful evaluations and implementations.
Presentation & Communication: Develop and deliver compelling presentations to technical audiences and decision-makers, effectively communicating the value of solutions.
Market & Technology Awareness: Stay up to date with the latest trends in data warehousing, analytics, and cloud computing, and contribute to internal knowledge sharing.

Required Qualifications:

A passion for technology and innovation – You’ve earned a Bachelor’s or Master’s degree in Computer Science, Business Informatics, or a closely related field, and you're eager to put your knowledge into action.
Hands-on experience that counts – With 2+ years in a pre-sales, technical post-sales, or BI/DWH consulting role, you’ve already made an impact—and you're just getting started.
A love for data – SQL isn’t just a skill for you—it’s a language you speak fluently. You thrive in the world of data lakehouse technologies and can navigate complexity with confidence.
A visionary mindset – You see the big picture. Modern data-driven architectures, ETL pipelines, BI tools, analytics platforms—you understand how they all come together to drive real business insights.
Adaptability across platforms – Whether it’s in the cloud or on-premises, you’re at home in any environment and excited by the possibilities they offer.
A relentless problem-solver – You don’t shy away from challenges. Instead, you approach them with a curious mind, a strategic approach, and a drive to deliver smart, effective solutions.
A storyteller at heart – Your communication and presentation skills set you apart. You can turn complex technical concepts into compelling stories that resonate with both experts and non-specialists alike.
A global mindset – Fluent in both German and English, you’re ready to connect, collaborate, and make a difference in a diverse, international setting.

Preferred Qualifications:

Experience with data visualization tools (e.g., Tableau, Power BI, Qlik).

Knowledge of big data technologies (e.g., Hadoop, Spark).

Experience with data integration tools (e.g., Informatica, Talend).

Familiarity with DevOps practices and tools.

Experience with containerization technologies (e.g., Docker, Kubernetes).

Knowledge of database administration and performance tuning.

Experience in a fast-paced, high-growth environment.

Permanent

negotiable

big data

Data Architecture

Data Lakes

Data Warehousing

Databricks

docker

DWH

ETL

German

Hadoop

Informatica

kubernetes

MS Power BI

Power BI

SQL

Tableau

Talend

3 days ago

DevOps Engineer oder Software Developer (DevOps) m/w/d

Permanent

negotiable

CI/CD

development

Git

Jenkins

kubernetes

PostgreSQL

Pyhton

4 days ago

Senior Sales Operations Manager m/w/d

Key Responsibilities:

Lead the development, implementation, and maintenance of standardized sales processes, including lead management, opportunity management, and sales forecasting.
Identify areas for improvement in sales workflows and propose solutions to enhance efficiency and productivity.
Collaborate with sales leadership to implement and track key performance indicators (KPIs) for sales activities.
Document and maintain sales processes and best practices.
Oversee the management and maintenance of key sales systems, including Salesforce (or your CRM), and other sales enablement tools.
Ensure data integrity within Salesforce, ensuring accurate and up-to-date information for reporting and analysis.
Lead the implementation of new Salesforce features and functionalities.
Provide support and training to sales team members on the use of sales tools and systems.
Develop and maintain a robust sales analytics framework to provide actionable insights to the sales team and leadership.
Create and deliver regular reports and dashboards to track sales performance, identify trends, and inform decision-making.
Conduct in-depth analysis to identify opportunities for improvement in sales strategies and tactics.
Present findings and recommendations to sales leadership.
Lead and mentor a small team of sales operations specialists, providing guidance, support, and development opportunities.
Foster a collaborative and high-performing team environment.
Delegate tasks effectively and ensure accountability.
Work closely with other departments, such as marketing, finance, and customer success, to ensure alignment and efficient operations.
Support the onboarding and training of new sales team members on sales processes and systems.
Participate in sales meetings and provide operational updates and insights.

Required Qualifications:

5-10 years of experience in sales operations, with at least 2 years in a leadership role.
Deep understanding of Salesforce (or your CRM) and related sales technologies. Salesforce administration experience is a strong plus.
Strong analytical and problem-solving skills with the ability to interpret data, draw meaningful conclusions, and present findings in a clear and concise manner.
Excellent written and verbal communication skills and a proven ability to collaborate effectively with cross-functional teams.
Experience in designing, implementing, and optimizing sales processes.
Passionate about using data to drive sales decisions and improve performance.
Proven ability to lead, motivate, and develop a team.
Comfortable working in a fast-paced environment and being actively involved in day-to-day operations.

Preferred Qualifications:

Experience with CPQ (Configure, Price, Quote) software.
Familiarity with data visualization tools (e.g., Power BI, Tableau).
Understanding of B2B sales processes.
Experience in a high-growth SaaS environment.
German language skills.

Sales

negotiable

Configure

MS Power BI

Power BI

Price

Sales Operations

Tableau

6 days ago

Head of Sales – SaaS Products (m/f/x)

Your Responsibilities:

Leadership: Lead and coach our EU team of Account Executives (5 in the EU), with a path to expanding into a global leadership role overseeing our North American team (2 in NA). Ensure the team consistently exceeds sales targets and grows professionally.

Strategy: Develop and implement the sales strategy to achieve our Annual Recurring Revenue (ARR) targets and ensure long-term growth.

Sales Excellence: Provide input into the continuous optimization and evolution of the sales department, ensuring a scalable and efficient sales process across regions.

Collaboration: Work closely with key departments, including Marketing, Product Management, Revenue Operations, and Implementation Project Management, to align on business goals and optimize the sales process.

Sales Process: Oversee and refine the execution of MEDDPIC and Sandler methodologies across the sales team to ensure a structured, results-driven approach.

Team Development: Bring energy and foster a culture of learning, collaboration, and growth, helping the team achieve their full potential through regular coaching, feedback, and training.

Are You the ONE?

Proven Leadership: At least 3 years of experience in a senior sales leadership position, ideally in a SaaS or B2B environment, with a proven track record of driving sales success.

Industry Expertise: Knowledge and experience with MEDDPIC and value selling is a must.

International Team Management: Experience managing remote teams in different regions (specifically in NA and EU), with a focus on coaching and development.

Sales & Strategy: Ability to develop and execute sales strategies that drive ARR growth, optimize the sales pipeline, and deliver scalable results.

Languages: Fluent in English (spoken and written). German is a plus.

Strong Communication: Excellent communication and negotiation skills, with the ability to engage and inspire teams and stakeholders.

Tech-Savvy: Proficiency with CRM systems and analytics tools to monitor sales

Sales

negotiable

MEDDPIC

SaaS

Sales

Sales Leadership

Sandler

1 week ago

Software Implementation Specialist (f/m/d)

Permanent

negotiable

1 week ago

You must be a senior Cloud Native Data Architect, combining a strong technical background in modern data architecture with expertise in implementing data architectures, collaboration skills, and innovative mindset to contribute effectively. Proven experience as a Data Architect with a focus on designing and implementing scalable data architectures • Extensive experience with databases, data lakes, and data warehouses and message brokers (e.g.: Kafka) • Extensive experience with ETL processes and data integration from various sources • Extensive experience with modern data technologies and cloud services. • Proficient in designing and implementing data models to meet business requirements. • Knowledge of and experience with Data Mesh • Ability to evaluate and recommend the adoption of new tools and technologies. Innovative mindset to propose solutions enhancing the organization's data architecture Must-have experience • A minimum experience of 3 years as a Cloud Native Data Architect • Deep understanding of data architectures (incl. data quality and data SLOs) in the context of cloud-native and distributed environments and the ability to articulate data concepts to different audiences • Proven experience in helping development teams navigate the CAP theorem with trade-offs when choosing data storage technologies • Experience in building data solutions that enable data democracy in the organization and prevents data silos while ensuring data governance and compliance • Strong knowledge of data security and the ability to specify at an architectural level the security best practices that must be incorporated when working with Data (encryption, access control, data classification and compliance, etc) • Demonstrated experience in explaining the maturity required to use cloud native data technologies – not only on the IT side but especially on the Business side of an enterprise. • Prior experience with the following technologies: o Relational Databases (eg: PostgreSQL) o NoSQL Databases (eg: MongoDB, Cassandra) o Time series Databases (eg: TimescaleDB, InfluxDB) o Graph Databases (eg: Neo4j) o Data Warehouse and Data Lake architectures o Messaging/Data Streaming Systems (Apache Kafka) o Data processing and workflows (eg: Spark, Dagster, Apache Airflow, etc) • Proficiency in at least one programming language – Python, Java or Scala • Familiarity with agile development methodologies and tools (e.g., Scrum, SAFE, JIRA, Confluence).

Freelance

negotiable

1 month ago

Cloud Native Data Engineering

Profile Requirements The contractor must be a senior Cloud Native Data Engineer, combining a strong technical background in data engineering with expertise in implementing data architectures, and innovative mindset to contribute effectively. We are looking for contractors with: Proven experience in Data Engineering with a focus on designing and implementing scalable data architectures • Extensive experience with databases, data lakes, and data warehouses and message brokers (eg: Kafka) • Hands-on experience with ETL processes and data integration from various sources • Familiarity with modern data technologies and cloud services. • Proficient in designing and implementing data models to meet business requirements. ∙ Experience with Data Mesh • A keen interest in staying updated on emerging technologies in the data engineering and Data space. • Experience with evaluating and recommendation of the adoption of new tools and technologies. Innovative mindset to propose solutions enhancing the organization's data architecture Must-have experience • A minimum experience of 5 years in Cloud Native Data Engineering. • Experience with rearchitecting existing monolithic architecture to micro-services based Cloud Native architectures. • Strong understanding of Cloud Native architectures (loosely coupled services, containers, horizontal scalability, application resilience patterns). • Proficiency in at least one programming language – Java or Scala ● Knowledge and experience with at least some of the Data technologies/frameworks: o Workflow orchestration (AirFlow/Oozie etc.) o Data integration/Ingestion (Nifi, Flume etc) o Messaging/Data Streaming (Kafka/RabbitMQ etc.) o Data Processing (Spark, Flink etc.) o RDBMS (PostgreSQL/MySql etc.) o NoSQL Storages (MongoDB, Cassandra, Neo4j etc.) o Timeseries (InfluxDB, OpenTSDB, TimescaleDB, Prometheus etc.) • And / Or with their Cloud provided counterparts, i.e., Cloud Data/Analytics services (GCP, Azure, AWS) Proficiency in the following Tech Stack: • Deployment & Containerization: Docker, Kubernetes, Helm. • CI/CD & DevOps Tools: Azure DevOps, Gitlab CI Actions, GitOps, Gitlab, Bash/Shell scripting, Linux • Database change management: tools (such as Liquibase or Flyway) • Familiarity with agile development methodologies and tools (e.g., Scrum, SAFE, JIRA, Confluence).

Freelance

negotiable

Cloud

1 month ago

Senior Cloud Native Developer.

Profile Requirements The contractor must be a Senior Cloud Native Developer. We are looking for individuals with: ● Hands-on experience in building microservices, designing REST APIs, and deploying containerized applications using modern object-oriented and cloud-native design principles. ● Proven ability to design scalable, event-driven, and data-centric systems with high performance and automation ● DevOps practitioner: Strong understanding and experience with CI/CD, GitOps, secrets management, and infrastructure as code. ● Security and Quality: Experience in security and quality best practices, including secrets management, security scans, and code quality. Experience in instrumenting apps for Observability: experience in instrumenting apps using observability libraries/sdks (such as OpenTelemetry) to provide observability and monitoring tools with logs, metrics, and traces to ensure the health and performance of Cloud Native applications. Must-have experience • A minimum experience of 5 years in Cloud Native Development • Experience in modernizing legacy .NET applications by re-architecting them into cloud-native, modular services using C# (.NET 6/7/8), and integrating with modern data services such as relational databases (eg, SQL Server, PostgreSQL), time-series databases (eg, InfluxDB, TimescaleDB), and messaging platforms (eg, Kafka, RabbitMQ, Azure Event hubs). • Strong understanding of Cloud Native architectures (loosely coupled services, containers, horizontal scalability, application resilience patterns). • Proficiency in .Net & C# • Instrumenting for Observability: Experience with instrumenting the codebase for telemetry data (logs, metrics, traces) with frameworks such as OpenTelemetry. • List of mandatory experience / skills and other criteria – if not met, candidate will be rejected • Knowledge and experience with at least some of the Data technologies/frameworks: o Messaging/Data Streaming (Kafka/RabbitMQ etc.) o RDBMS (PostgreSQL/MsSQLetc.) o NoSQL Storages (MongoDB, Cassandra, Neo4j etc.) • (And/Or with their Cloud provided counterparts, ie, Cloud Data/Analytics services (GCP, Azure, AWS) Proficiency in the following Tech Stack: • Deployment & Containerization: Docker, Kubernetes, Dapr, Helm • CI/CD & DevOps Tools: Azure DevOps, Gitlab CI, GitOps, Gitlab, Bash/Shell scripting, Linux • Database change management: tools (such as Liquibase or Flyway) used for Entity Framework Core Migrations • Observability Tools: Grafana, Prometheus, Pushgateway, InfluxDB, Alertmanager • Applications resilience: frameworks

Freelance

negotiable

Remote

Cloud

1 month ago

Senior Product Manager in the Financial Services Industry m/w/d

Responsibilities:

FSI Market Leadership: Be the go-to expert on the evolving data needs of banks, insurers, hedge funds, capital investment firms, and high-speed trading environments.
Product Strategy: Shape the product roadmap for the FSI vertical by integrating regulatory requirements, technology trends (data mesh, real-time analytics, ML/AI), and customer feedback.
Technology Alignment: Position our customer`s query engine in the broader data ecosystem across modern architectures such as data lakehouse, cloud-native analytics, and on-prem as well as hybrid data stacks.
Customer Engagement: Collaborate deeply with C-level executives, CTOs, and data leaders at FSI customers to co-develop impactful solutions and validate product direction.
Sales Enablement: Equip GTM teams with compelling messaging, playbooks, and training to drive revenue and adoption in target accounts.
Competitive Positioning: Lead deep market and competitor analyses to inform pricing, packaging, and positioning strategies for FSI use cases.
Go2Market: Be the owner for the go2market motion and orchestrate a cross-functional team to achieve business goals.
Industry Evangelism: Represent our customer at FSI events, industry panels, and analyst briefings as a thought leader on modern financial data platforms.
Cross-Functional Leadership: Serve as a key liaison between engineering, marketing, sales, and customer success to ensure cohesive execution.

Required Qualifications:

Bachelor’s degree in Computer Science, Engineering, Finance, or a related field.
Native German speaker.
5+ years in product, solution, or data strategy roles in FSI, with direct experience in banks, insurance, hedge funds, capital markets, or trading platforms.
5+ years in B2B product management or solution leadership, with proven GTM collaboration.
Demonstrable success developing and executing solutions for data warehousing, advanced analytics, and/or high-performance analytical workloads.
Familiarity with lakehouse architecture, analytical query engines, data warehousing, cloud infrastructure (AWS, Azure, GCP), and AI/ML integration.
Strong grasp of FSI-specific architecture, data governance, compliance frameworks (e.g., BaFin, GDPR), and security requirements.
Outstanding communicator and confident public speaker
Strong stakeholder management across technical and non-technical audiences
Analytical mindset with ability to balance product vision and pragmatic execution

Preferred Experience:

Prior experience high-performance analytical query engines
Knowledge of trade surveillance, portfolio risk modeling, actuarial analysis, or similar FSI analytics use cases
Experience in highly regulated environments within DACH.

Travel & Location:

Willingness to travel across EMEA for customer engagements, internal meetings, and industry events.
Flexible remote working, with preference for candidates located in Germany, Spain, or the UK. Employment in other EMEA countries will be through an Employer of Record.

Permanent

negotiable

AWS

Azure

BSB

Data Governance

Data Lakes

Data Warehousing

Machine learning

1 month ago