Data Engineer

Landal; Amsterdam; On-site; EUR 45,086 - 64,449; Full time

Benefits offered by this job

27 Urlaubstage

Flexible Arbeitszeiten

Home-Office-Zulage

Reisevergütung

Umfangreiche Schulungsangebote

Betriebliche Altersvorsorge

Bezahlte Elternzeit

Kollektive Versicherungsoptionen

Mitarbeiterrabatte

Job summary

Ein innovatives Unternehmen in der Reisebranche sucht einen Data Engineer, der die Dateninfrastruktur optimiert und verwaltet. In dieser spannenden Rolle gestalten Sie Datenpipelines und integrieren Daten aus verschiedenen Quellen, um wertvolle Einblicke zu gewinnen. Sie arbeiten in einem dynamischen Team und tragen zur Verbesserung der Kundenerfahrungen und strategischen Entscheidungen bei. Mit einem Fokus auf persönliche Entwicklung und einem inklusiven Arbeitsumfeld bietet diese Position zahlreiche Möglichkeiten zur beruflichen Entfaltung und Zusammenarbeit. Wenn Sie eine Leidenschaft für Daten haben und in einem unterstützenden Umfeld arbeiten möchten, ist dies die perfekte Gelegenheit für Sie.

Qualifications

• 4-6 Jahre Erfahrung in der Dateninfrastruktur und Datenmodellierung.
• Erfahrung mit Azure ETL und Big Data-Technologien, insbesondere Databricks.

Responsibilities

• Optimierung der Datenspeicherung und Abfrageleistung für zeitnahe Einblicke.
• Zusammenarbeit mit Analysten zur Unterstützung datengetriebener Projekte.

Skills

SQL

Python/PySpark

Data Manipulation

Data Transformation

Collaboration

Problem Solving

Education

Bachelor in Computer Science

Master in Data Science

Tools

Azure ETL Tools

Databricks

GIT

Azure DevOps

Job description

Landal Amsterdam, North Holland, Netherlands

As a Data Engineer, your mission is to manage and optimize the data infrastructure that powers business operations, enhances customer experiences, and drives strategic decision-making. You will design, develop, and maintain data pipelines and architectures to collect, store, and process data from various sources, such as reservation systems, customer feedback platforms, and property management systems.

Additionally, you will integrate data from booking engines, CRM platforms, and financial software into unified data warehouses or data lakes. Your role will also involve implementing processes for data cleaning and validation to ensure the accuracy and consistency of data, which is essential for reporting and analytics, ensuring the organization has access to actionable and reliable insights.

This is what you will do

• Optimize data storage and query performance to handle high transaction volumes and deliver timely insights.
• Ensure the scalability of the data infrastructure to meet business growth and increasing data demands.
• Collaborate with data analysts and IT teams to support and implement data-driven projects.
• Troubleshoot and provide technical support for data pipeline issues and performance challenges.
• Facilitate access to data for business intelligence tools, enabling the creation of insights and driving data-based decision-making.
• Design custom data solutions, such as real-time dashboards to monitor key metrics like occupancy rates or customer satisfaction.

This is you

• 4-6 years of relevant work experience, supported by a degree in computer science, information technology, data science, or a related field.
• Proficiency in SQL and Python/PySpark, with expertise in advanced data manipulation, transformation, and automation.
• Extensive experience with Kimball Data Modeling and Data Warehousing methodologies, ensuring the design of scalable and robust data systems.
• Hands-on experience with Azure ETL tools and big data technologies, preferably Databricks, for efficient data integration and processing.
• Skilled in version control (GIT) and setting up CI/CD pipelines, ideally using Azure DevOps or the Azure Stack platform.
• Familiarity with hospitality systems, including property management systems (PMS), point-of-sale (POS) systems, booking engines, and integrations with CRM and ERP platforms.
• Knowledge of hospitality-specific use cases, such as revenue management, customer personalization, and operational efficiency improvements.
• Experience in designing and implementing data solutions in complex and dynamic business environments.
• Proven ability to collaborate with external vendors, ensuring their deliverables align with business objectives and technical standards.

What we offer

• An enthusiastic and diverse team of friendly and driven colleagues who love our mission and our company, within an inclusive and harmonious work environment where we take good care of each other;
• A flat organizational structure with a focus on mutual feedback and a short path from idea to action;
• An independent and influential role with many opportunities for internal development;
• A one-year contract with a one-month probation period, with the aim of eventually offering permanent employment;
• A salary between € 4,040 and € 5,775 gross per month on a full-time basis;
• 27 vacation days for a full-time workweek;
• Flexible working hours and the possibility to work from home;
• A home-office allowance of € 2.40 per remote working day;
• Travel reimbursement in line with the Landal travel reimbursement policy (€ 0.23 per km with a maximum of 40 km one way). When commuting by public transport, your travel costs are fully reimbursed, as Landal encourages employees to commute to the office by public transport;
• Extensive training and development opportunities, both online (over 150 e-learnings) and offline, aimed at developing your expertise and personal growth;
• Participation in the Recreation Pension Fund, with the premium for old-age pension amounting to 21.8% of the pension base, equally contributed by Landal and yourself;
• The possibility of paid additional birth and parental leave;
• Various collective insurance options, including free continuous travel insurance for you and your family;
• A favorable employee booking arrangement.

A full-time employment contract at Landal consists of a 38-hour workweek, equivalent to a 5-day workweek. If you have a part-time contract, your salary and vacation days will be calculated proportionally.

Seniority level

Associate

Employment type

Full-time

Job function

Information Technology

Industries

Travel Arrangements