Senior Data Engineer
Job ID #VAC04103
KEY DATA
LOCATION
Berlin, Germany
KEY SKILLS
Big Data Hadoop Mathlab NoSQL
JOB TYPE
Full-Time
SALARY
< 120.000€/p.a. gross
PUBLISHED
534 days ago
START DATE
01.03.2017
CLOSING DATE
01.01.2027
JOB ID
#VAC04103
JOB DESCRITION

Checkpoint Digital Solutions is looking for a skilled Senior Data Engineer to join his German partner's team in Munich.

We are on a mission to make important events in life simple, efficient and stress-free for millions of people. As a Data Engineer you will build up a data platform with state of the art technologies for making data accessible at our fingertips. Furthermore you will work in cross functional teams in order to create data products that empower our consumers and customers individually with our market knowledge.


Perks:

45.000 - 75.000 Euro Gross Annual Salary

Blue Card - VISA Support

An environment that provides the opportunity for impact you would find in a start-up combined with the resources of a market leader

Competitive salaries, an attractive company pension plan and personal benefits such as gym membership discount as a start

Great work-life balance, including flexible working hours, home office and 30 days of vacation annually

A commitment to diversity and a positive environment where we are not just colleagues but teammates and friends

Continuous development including skills training, language courses, and many other workshops and sessions

Our on-site canteen, fresh fruit, free drinks and more

RESPONSIBILITIES

You will:

- Design and build great company-wide Data platform

- Provide tools and advice for data ingestion, processing and analysis

- Model and develop resilient and performant data architectures and processes

- Shape an AWS based distributed stream and batch processing solution

- Find solutions of data challenges within the Scout group

- Living Agile: Frequent development cycles, Continuous Delivery and DevOps

- Strong desire to learn about new trends and technologies

- Raise the bar for your team technically

SKILLS & QUALIFICATIONS

Main requirements:

University degree in Computer Science or equivalent experience

2+ years professional work experience with Big Data environment (Hadoop, Hive, Spark, …)

2+ years professional work with Scala or Python

Deep understanding of approaches to data storage (RDMBS, NOSQL databases, OLAP), proficiency with SQL

Deep understanding of the Map-Reduce paradigm

Expertise with Linux (bash, grep, awk)

Good knowledge of classical data structures


In addition to these core skills, you:

Have good English skills (spoken and written), German is a plus

Enjoy learning new things and are willing to improve yourself, the team and the workflow


Nice to have:

Professional experience with cloud services (especially with AWS)

Experience in organizing and automation of ETL procedures

Experience with real-time streaming

Experience with Continuous Integration and DevOps

Interest and basic knowledge of machine learning techniques

Good knowledge of statistics

APPLY TO THIS JOB

Please fill in the form below to send us brief details about you. We will use this information to get in touch to process your application in full.

I have read and understood the Data Privacy Statement and agree to the storing and processing of my data as described therein.