Key Skills

Job Description

Every day, we help our clients use insights from data to define their target audiences more precisely, optimize the use of marketing and sales channels, and identify the most appropriate propositions. We do this both through automated predictive models in our Intelligence Factory and through a variety of specific analyses. Our solutions incorporate advanced data science and AI models, but without a solid data foundation, those models are of little value. Our data engineering team works every day to strengthen that foundation. We have developed a data pipeline in which we ingest, cleanse, and enrich customer data. This creates the basis for applying predictive algorithms and generating insights. Do you enjoy further developing our data pipeline, building APIs and connectors, and constantly exploring new features? If so, apply now. Further development of our data pipeline, primarily using Python and SQL. You will develop in accordance with CI/CD, using Git, Airflow, and Docker Development of APIs/connectors You initiate initiatives to further optimize our data platform and add new functionalities. You work closely with data scientists to implement predictive models. HBO/WO level of thinking and work Minimum of 3 years of relevant work experience in a similar position You have a special interest in data; you don't just see it as a technique. At the very least, you're highly proficient in Python or SQL, but preferably in both Experience with Git, Airflow, and/or Docker Knowledge of Kubernetes and/or AWS is a plus Knowledge of: Data modeling, data architecture, data quality and master data management Security aspects related to the storage and transport of data Good communication skills With the experience you bring, you are a proactive data engineer with knowledge of and passion for data, and you would like to deepen your knowledge. You take responsibility for the performance of the data pipeline and enjoy further developing it to be best-in-class. You work well independently, but prefer to work as part of a team. You take a pragmatic approach to finding solutions, while always maintaining high quality standards. You are proactive and entrepreneurial, and you have a proven track record in building and developing data platforms and data pipelines. You also enjoy working in a dynamic environment. A gross monthly salary between €4,000 and €5,000, depending on your experience and skills 27 vacation days and employee benefits such as a pension plan The opportunity to work for renowned clients in various sectors. A challenging and varied position within a growing and innovative company with plenty of room for new ideas. There is plenty of room for personal development and following training courses and education. A pleasant workplace just a 5-minute walk from Den Bosch Central Station. Explore and work with advanced analytical techniques in data science and AI, alongside our data science team Exsell is a leading sales and consulting firm that helps organizations improve their commercial results. With their MASIF platform and additional consultancy and support, Exsell ensures sustainable growth and successful sales strategies. Our team combines years of experience with a fresh, innovative approach, guiding our clients towards lasting sales excellence, which translates into significant and structural conversion improvement. MASIF (Marketing And Sales Intelligence Factory) is Exsell's platform, incorporating many best practices for data-driven marketing and sales, including a Customer 360/CDP, an audience selector, campaign manager, and CRM application. Data is cleaned and enriched, enhanced with a rich arsenal of predictive models and AI, to easily arrive at target group selections and campaigns. Everything is measured, providing insight into performance and continuous improvement.

Core Responsibilities

Develop and optimize the data pipeline using Python and SQL, following CI/CD practices and working with tools such as Git, Airflow, and Docker. Build APIs and connectors, improve the data platform, and collaborate with data scientists to implement predictive models.

Requirements

Candidates should have at least three years of relevant experience, strong proficiency in Python and/or SQL, and experience with Git, Airflow, and/or Docker. They should understand data modeling, architecture, quality, master data management, and data security, and bring a proactive, collaborative, quality-focused approach.

Benefits

• 27 Vacation Days
• Pension Plan
• Personal Development and Training Opportunities