Martin Kegel in

Martin Kegel

Critic · DISC type C
Engineering Manager at Cognism
📍 Croatia

Martin is a Data Engineering Manager at Cognism with over five years of experience specializing in building and managing large-scale data pipelines, data lakes, and scalable data architectures. He is proficient in Spark, Scala, and a wide range of AWS services. He holds a Bachelors degree in Computer Science.

Outside of his professional life, Martin prioritizes a healthy work-life balance by staying active. He enjoys playing sports, spending time outdoors, and is always open to trying new things and having fun.

He was recently promoted from Data Engineer to his current role as Engineering Manager within Cognism.

Read the full overview →
Experience
8 Years
Current Role
Engineering Manager
Job Level
Middle
Location
Croatia
Personality Overview

How Martin shows up

Precise
Information Seeker
Objective Thinker

They are quite likely to negotiate on pricing or other key terms. They don’t appreciate bells and whistles unless backed by data. They like to do things independently and don’t look for support from others.

Priorities

Topics Martin cares about

Big Data Processing
He builds big data applications using Scala and Spark to process petabytes of data, highlighting his expertise in handling massive datasets.
Scalable Architectures
His focus is on creating and managing scalable data architectures, with extensive experience using AWS services like EMR, Glue, Athena, and S3.
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Career

Work history

2-2025
Engineering Manager
Cognism
1-2023 - 2-2025
Data Engineer
Cognism
7-2019 - 12-2022
Database Developer
AdScanner
7-2017 - 7-2019
IT Support Technician
Mercury Processing Services International
In the press

Media appearances

No media yetWe could not find public media appearances for this person.
Education
2017 - 2020
Bachelor's degree
Tehničko veleučilište u Zagrebu - računarstvo
2012 - 2016
High School Diploma
Third Gymnasium Zagreb
Social presence
in
Behavioral profile

DISC profile (public)

C

Calculativeness (C)

Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.

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