Principal Data Engineer (Lead)
€70.000- €90.000 annually based on experience | The Hague, the Netherlands | Hybrid
Immerse yourself in the dynamic environment of our client's forward-thinking organization. As a Lead Data Engineer, your expertise will play a pivotal role in shaping the landscape of the telecommunications sector in the Netherlands.
Our client is an innovative provider of mobile, fiber optic, and TV services, driven by a team of nearly 1,900 colleagues dedicated to improving the telecom industry. At their core, they believe technology is for everyone, fostering inclusivity and diversity in the digital world.
Your Responsibilities
As a Principal Data Engineer in our IT Department
* You will spearhead projects and programs related to data architecture, pipeline development, data integration, performance optimization, and CI/CD implementation.
* Engage with diverse technical and non-technical stakeholders on ongoing and upcoming initiatives, addressing business demands and solutions within the data technology ecosystem.
* Provide leadership to a dynamic team of data engineers and data consumers, instilling a proactive approach within the engineering group.
* Make strategic decisions based on a comprehensive understanding of the technical landscape, potential risks, assumptions, dependencies, future challenges, and cost implications.
* Execute the data lifecycle, encompassing data integration, data engineering, data architecture, and data security, collaborating with other teams such as BI, ML, data science, and platform teams for seamless delivery.
* Transform business requests into actionable solutions, showcasing tangible advancements with measurable outcomes.
* Stay abreast of the latest trends and technologies in data engineering to propose improvements and implement best practices.
Essential Qualifications
* Demonstrated expertise as an AWS specialist in the data engineering segment, with a background in roles such as data engineer.
* Proficient in core AWS services including AppFlow, DMS, Glue, Lambda, Lake Formation, Redshift, Step Function, CFT, CI/CD, and other data-related services.
* Coding proficiency in Python, PySpark, and SQL.
* In-depth understanding of the data flow from inception to consumption, including data modeling.
* Effective communication skills, enabling clear and concise interactions with technical, business, and executive stakeholders.
* A holistic approach to requirements, offering tactical or strategic solutions as appropriate.
Desirable Qualifications
* Experience collaborating with data management teams on data quality, data lineage, and metadata management.
* Previous engagement with data science and data infrastructure teams.
Not a Suitable Role If
* You lack a coding execution background or have no plans for future coding contributions.
* You are only conceptually aware of core AWS services without practical implementation knowledge.
Our client values diversity and maintains an inclusive work environment with equal opportunities for all. As a recognized Top Employer, they take pride in their commitment to providing a supportive workplace.
What is in it for you?
* Competitive salary and variable bonus scheme
* Hybrid working options
* Progressive pension scheme
* 30 vacation days (for full-time employees) plus an additional day off after Ascension Day
* Redeemable holidays
* An our client subscription
* Real growth opportunities
* Personal annual learning budget with access to over 200 digital training courses
* Workshops, learning weeks, annual ski trips, fun outings, and parties
Your Contribution
Your extensive experience in data engineering, data science, reporting, and statistical methodologies is crucial. Guide diverse teams towards comprehensive Business Intelligence solutions, seamlessly merging technical and business perspectives.
Educational Background
Bachelor's or Master's Degree in a relevant field.
Professional Experience
Minimum of 7 years in data engineering and analytics, with at least 2 years in a leadership or team lead role.
Technical Expertise
* Proficiency in SQL, Databricks, Hadoop.
* Skills in Python, R, and Spark.
* Experience with cloud data platforms: AWS, GCP, Microsoft Azure.
* Extensive knowledge of AWS services related to data.
Data Engineering and Management
* Expertise in data integration, storage, security, and architecture.
* Coding proficiency in Python, PySpark, and SQL.
* Understanding of data flow from inception to consumption, including data modeling.
Leadership and Communication
* Demonstrated history of leading teams or communities
* Effective communication with various stakeholders
* Holistic approaches to requirements, providing tactical or strategic solutions as applicable
