Data Engineer

Swiss Life Global Solutions
Hoofddorp, Netherlands
19 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
Dutch, English
Experience level
Intermediate

Job location

Hoofddorp, Netherlands

Tech stack

Business Logic
Azure
Big Data
Cloud Computing
Computer Programming
Data as a Services
Data Integration
ETL
Data Structures
DevOps
Python
Power BI
Software Engineering
SQL Databases
Tableau
Azure
Data Processing
Scripting (Bash/Python/Go/Ruby)
Azure
Data Strategy
GIT
PySpark
Information Technology
Data Management
Azure
Data Pipelines
Serverless Computing

Job description

models Implement business logic, checks and other processes bringing data into the right format and quality Optimize data processes: Develop, manage, optimize, verify and test code used for data processing Conduct data quality assessments: Ensure data accuracy and reliability through regular assessments and improvements Mentor data team members: Guide and support junior analysts and engineers with best practices Analyze large datasets: Identify trends, patterns, and anomalies to provide actionable insights and recommendations for internal stakeholders. Prepare reports & presentations: Communicate findings to stakeholders in a structured, clear and concise manner (For example with PowerBI, Tableau) Stakeholder Management: Proactively cooperate with various departments for design & implementation. Data Strategy Strategy: Support with the development and implementation of our data strategy Governance: Collaborate with stakeholders across departments to identify data needs and establish data

Requirements

governance frameworks Organization Promote company culture: Embody and promote the entrepreneurial spirit within the organization Maintain strong internal relationships: Collaborate with departments such as Head Pricing, Business Services and Operational departments. Education & Experience Bachelor's or Master's degree in IT/Data/Software Engineering/Data Science/ Computer Science or related field More than 3 years of professional experience, ideally 3-5 years, in enterprise data platform engineering, in the insurance, finance or similar domain. Very good programming skills in Python, PySpark and T-SQL. Knowledge of scripting languages. Familiarity with Microsoft Azure data services: Synapse Analytics, Azure Data Factory, Azure Logic Apps, Azure Functions and Azure Service Bus Experienced in data integration (ETL/ELT), data management, data modelling and building scalable data pipelines Understanding of DevOps tools and CI/CD pipelines (Azure DevOps, GIT, etc.) Knowledge of different data structures, algorithms, storage systems and cloud infrastructures Strong analytical and problem-solving skills with attention to detail. Excellent communication skills, with the ability to present complex data insights to non-technical stakeholders. You have knowledge of the Dutch Income insurance market or are willing to grow your knowledge on this area. Languages Fluent in English and Dutch

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