WS is a dedicated department within ICT Strypes focused on web solutions development. Built around exceptional individuals, the end-to-end software solutions we delivered won the trust of a huge enterprise corporation. ASML is part of the top 20 in the world by market capitalisation and is the largest semiconductor equipment manufacturer in the world.
Having highly skilled developers, proven organizational processes and strong domain expertise has allowed the department to be entrusted to deliver application solutions covering the entire cycle of complex diagnostics and customer support on a global scale.
That includes remote diagnostics, monitoring, and predictive alerting of thousands of machines, maintenance and repair, work planning, big data collection, analysis, and statistical processing, and the entire monitoring of semiconductor factory operations spread around the globe.
Such applications allow our customers to be prepared, accurate, cost-effective, and have timely reactions even in unexpected situations that can cost them tens of thousands of dollars per hour of downtime.
The Position
The Senior Data Engineer will actively contribute to the realization and design of data pipelines, used as a source of data for a wide variety of functionalities within our clients’ products, according to the in-place standards, procedures/ rules, as well as project plans and documentation (i.e., high- or low-level specifications). The Senior Data Engineer is passionate about mentoring and guiding the team, fostering an environment of collaboration, knowledge sharing, and professional development, helping each team member grow while strengthening the overall capabilities of the team.
Main Responsibilities
Designing and constructing new database systems that are capable of handling large volumes of data, ensuring they’re both scalable and secure;
Designing complex data models;
Developing ETL (Extract, Transform, Load) processes that are crucial for transforming and transporting data from various sources into a unified format of analysis;
Implementing data pipelines that automate the flow of data across various systems, thereby enhancing the efficiency of data processes;
Regularly monitoring and optimizing data systems to ensure they perform efficiently and reliably;
Effectively mentors team members and inspires clear communication and a collaborative environment;
Tackles difficult technical and architecture challenges.
Requirements
Technical skills:
5+ years of specific data engineering experience;
Knows the common software development, data engineering, data management, and data governance processes;
Experience with big data tools (Apache Spark, ApacheHadoop etc.), which are essential for processing large databases;
Strong programming skills, particularly in languages like Python;
Experience with Microsoft Azure, Azure Data Factory, Azure Databricks;
Profound knowledge in relational and non-relational database technologies;
Knowledge/experience in Scrum and Agile practices;
Excellent knowledge of English (both written and verbal).
Personal skills:
Strong analytical skills combined with a pragmatic attitude and flexibility;
Proactive personality;
Ability to work independently in a dynamic environment;
Open communication attitude: active listening and giving feedback;
Being a team player and having the ability to work closely with cross-functional teams;
The ability to approach design problems with a solution-oriented mindset and think critically to come up with effective design solutions.
Nice to have:
Experience in data analysis and visualization;
Azure certifications.
COMPENSATION BENEFITS
Flexible working hours;
Friendly work environment;
Supplementary health insurance;
Loyalty programs:
after each year worked you get additional paid annual leave (1 per year, max. 25 days total);
after the third year, you can get a budget for a car or be included in a bonus program;
after the fifth year, you will receive a one-time holiday bonus;
Free parking and carpooling;
Employee recognition program;
Technical and personal learning opportunities;
Quick onboarding process;
Personal freedom to solve complex problems.
If you think this is the right challenge for you, please send us your CV.
All applications will be treated as strictly confidential, and only short-listed candidates will be contacted.
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