Data Engineer

Job Description

WithSecure™ protects businesses all over the world from modern threats. We do this through a Co-security approach born from first-hand knowledge that no one can solve every cyber security problem alone. Every single day, our diverse, growing team fights against online extortion, threats to national infrastructure, the unlawful spread of sensitive information, and everything in-between. The best part about working for WithSecure is our people! We are a community of dedicated and passionate professionals that take workplace happiness seriously. If you’re looking for something that’s more than just a job – we’d love to hear from you.

We are expanding our set of core competences in the Data and Artificial Intelligence domain and are looking for a capable Data Engineer to join the Data Services team. We operate the company global Data Lake and process a large variety of data sets, ranging from cyber security threat data to product sales. Here you will work with other parts of the company to help making better data driven decisions and protect our users even better. Many diverse and interesting data-related problems will need to be solved along the way.

Key Responsibilities

• Create new data pipelines and continue to enrich our Data Lake, processing millions of events every day

• Design and plan new data solutions together with the rest of the team and our customers

• Work closely with data scientists to make sure data pipelines are reliable and in a usable format

• Keep up to date with new technologies and evaluate as they become available

• Work together with cyber security experts to find novel solutions to real life problems

What are we looking for?

• Experience with relevant programming languages, in particular Python. Other languages such as Node.js, Scala and Java considered a plus (several years for a senior position)

• Experience using AWS or other public cloud services (e.g. Kinesis, IAM, Lambda, S3, CloudFormation, CloudWatch, Fargate, Glue, DynamoDB, Neptune, Aurora, EMR, EC2)

• Experience in Databases, ranging from relational databases to NoSQL and Graph databases

• Experience in API design, quality practices, continuous deployment, DevOps and DataOps (several years’ experience for a senior position)

• Experience with Spark and/or other similar big data technologies (several years for senior position)

• Fluent written and spoken English

• Good communication skills

What will you get from us

• An opportunity to use the latest technologies to help people all over the world and enable more data driven decisions. You will not only read about Big Data – you will be doing it!

• Possibility to put your engineering and analytical skills to real beneficial use

• Work together with like-minded and highly skilled experts and learn from your colleagues

• An international and diverse work environment