(Senior) Consultant Data Engineering (f/m/d)

STATWORX GmbH; Frankfurt; Vor Ort; EUR 65.000 - 95.000; Vollzeit

Zusammenfassung

A leading consulting and development company for data and AI is seeking a qualified Data Engineer to join their innovative team in Frankfurt. The role involves architecture, deployment, and management of scalable data solutions, mentoring junior members, and providing strategic guidance, all within a collaborative environment. Candidates should have a master’s degree, extensive experience in data engineering, and strong programming skills in Python and SQL.

Leistungen

Flexible work location within the EU

Jobticket Deutschland for public transport

Access to sports and wellness offers

Apple IT equipment

Employee discounts and benefits

Qualifikationen

• Over 5 years of professional experience in data engineering.
• Experience with distributed systems and proficiency in cloud platforms.
• Fluency in English and advanced German skills preferred.

Aufgaben

• Architect and deploy scalable data platforms for customer needs.
• Mentor junior team members and conduct workshops for internal knowledge exchange.
• Implement and orchestrate end-to-end data processes focusing on quality and security.

Kenntnisse

Python

Bash/Shell

SQL

Data Quality

Data Security

Cloud Technologies

Communication

Ausbildung

Master’s degree in (business) informatics or comparable degree

Tools

Apache Spark

Kafka

AWS

Azure

GCP

Jobbeschreibung

About us

statworx is a leading consulting and development company for data and AI, based in Frankfurt am Main. We offer strategic consulting for medium-sized businesses and global corporations. We develop innovative data and AI solutions across all business areas and corporate functions. We empower people at all levels of expertise with our data and AI education formats. In short: We support companies in all aspects of digital transformation – for over 10 years, in more than 1000 data and AI projects, and for over 100 clients from almost all industries.

Our AI Development department serves as a facilitator for Data & AI transformation. We are taking a holistic approach, from the initial evaluation of AI maturity, through the design and development of data and AI solutions, to the practical implementation and scaling of AI solutions. Through our deep expertise in Data Engineering, Data Science, Machine Learning, we ensure that our clients gain the maximum value from their data.

Your tasks

• As part of our project team, you will enable advanced data science and analytics solutions by integrating and processing diverse data sources, including structured and unstructured data
• You will architect and deploy scalable, modern data platforms to meet customer needs, ensuring optimal performance, security, and resilience
• You will provide strategic guidance to customers and internal colleagues on data architecture, technologies, tools, and best practices, acting as a trusted advisor
• You will implement and orchestrate end-to-end data processes with a strong focus on data quality, security, and resilience
• You will operationalize and manage scalable data infrastructures in cloud environments, automating deployments and monitoring systems for reliability
• You will mentor and support junior team members, fostering a collaborative and knowledge-sharing culture within the organization
• You will contribute to internal knowledge exchange by hosting workshops, publishing technical blogs, or presenting at company events

Your profile

• You have successfully completed your master’s degree, e.g., in the field of (business) informatics or a comparable degree
• You have over 5 years of relevant professional experience in the field of data engineering
• You are highly skilled in Python, Bash/Shell, and SQL, consistently writing clean, efficient and maintainable code
• You ideally also bring knowledge of R, Scala, Java or C
• You have deep expertise in modern data architectures, such as Data Lakes and Data Lakehouses, and a strong understanding of relational databases and ETL processes
• You have hands-on experience with distributed systems (e.g., Apache Spark, Kafka) and you are proficient in leveraging cloud platforms (AWS, Azure, GCP) to build robust data solutions
• You have ideally experience in processing unstructured data in the context of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)
• You are confident in leading technical discussions and you communicate effectively with stakeholders at all levels, including non-technical audiences
• You take ownership of your work with a strong sense of accountability, and you approach challenges with a structured, detail-oriented mindset
• You are fluent in English (written and spoken) and have advanced German skills or are eager to improve them

Our offer

• Working on exciting future-oriented topics with cutting-edge technologies in the fields of Data Engineering, Data Science, Machine Learning, and AI
• Tackling technically complex questions, working on diverse projects, and experiencing a steep learning curve
• Extensive methodological and personal development opportunities, including regular internal and external training opportunities and an individual training budget
• Flat, team-based hierarchies and a friendly work atmosphere, with short decision-making processes and an agile work approach, complemented by regular feedback
• An open, inclusive, equal-opportunity work environment
• A modern, high-quality furnished office, which invites to exchange ideas and spend time, as well as the possibility to work flexibly from other locations, including up to 4 weeks from other EU countries
• Reduced public transport ticket (Jobticket Deutschland) and access to a wide range of sports and wellness offers (Wellpass) at a reasonable price
• And many other benefits, such as Apple IT equipment (MacBook Pro), regular team events, employee discounts, childcare support, free drinks and snacks

Your application

Apply via the application form and upload your current CV including a description of your software and methodological skills. Afterwards, we will then contact you as soon as possible. If you have any questions concerning your application or our vacancies, you can reach us by telephone at [phone] or [e-mail].

What is particularly important to us is that we value the uniqueness of each individual and always treat each other as equals. Diverse backgrounds, attitudes, and ideas enrich us and form the basis of our success. That’s why we welcome every application – regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age, as well as sexual orientation and identity.