Technology, Information and Internet

Machine Learning Reply

51-200

Germany

## Job Description

At 

## Machine Learning Reply Germany we work with our clients on **leading-edge data project** for which we are seeking **Data Analytics consultants** with a strong economics and IT background to serve our cloud based client projects in multiple industries. 

Machine Learning Reply, with its sister company in Italy and over 10.000 employees at Reply globally, is a fast-growing consultancy focused on solving problems with data intelligence and the right organizational frameworks as their backbone. We offer tailor-made **end-to-end solutions in the Data Analytics Ecosystem that cover the entire project lifecycle** \- from initial **strategy consulting** to **data architecture**, **data processing, modeling** and **implementation in production**.

We are a tight knit, laid back, but seriously motivated unit that aims to be involved at conferences and in community of practices with our tech partners.  

Whether you are already experienced in Data Analytics or just graduated having gained first experience in data technologies - If you never lose focus, are numbers driven, and passionate about technologies - **t** **hen we want to hear from you!**

## Responsibilities

* As a Data Analytics Consultant, you will **develop data warehouse solutions** for our clients based on their challenges
* You will be responsible for **formulating business requirements** and translating them into technology requirements as part of a **data warehouse/cloud roadmap** and initial data warehouse architectures
* **Analyze raw data** from our customers' source systems, transform it and **create meaningful business applications**
* You work closely with our data scientists, data engineers and solution architects to ensure the **smooth implementation of projects**
* You leverage your **strong communication skills** in meetings and workshops to convince our customers with **business cases, qualitative assessments** and **demos** and to present the results effectively

## What we offer you

* **Flexible working hours**, an attractive salary and a **competitive overall package** (e.g., **30 days of vacation**)
* **Flexible work environment** between client, Reply office and **home office**
* Very active group social program, including trainings, knowledge-sharing sessions, conferences, team buildings, group events, Reply Exchange, communities of practices and hackathons
* **Trainings and certifications** are encouraged and paid to foster your personal development
* You choose your state-of-the-art work equipment
* Access to our mobility scheme with **Job Rad** and **public transport tickets**
* **Gym-membership subsidy** for a gym of your choice
* Work in an open, flat environment, within a broad Reply knowledge-sharing-network
* Working in a modern company, with the **dynamics of a start-up** and the **security of a corporation**. We are driving digital change in small, innovative, international teams
* Award winning office spaces for an excellent work experience and access to "Stammstrecke"

## Requirements

We are looking forward to your Master's degree with a strong **quantitative and economic background**, for example in business informatics, economics or computer science
* You have a basic understanding of the **integration of different source systems** and **connectors** in a coordinated and efficient approach based on **on-premise** and **cloud technologies**, ideally with **Microsoft Azure** or **AWS**
* You have **good knowledge of SQL**, **database technologies** and **data modeling techniques** (Star Schema, Data Vault or Snowflake) and can assess the **advantages** and **disadvantages** well
* You are familiar with **Python** and have **practical experience with big data tools** (Apache Spark, Databricks, etc.)
* You understand the **concept of DevOps** and have **hands-on experience with Git Source Code Management (SCM)**
* You have experience with setting up **workflow orchestration** (Apache Airflow, Dagster, etc.)
* You have a strong understanding of industry **best practices related to data lakes and data warehouses**
* Experience with or **interest in shaping the technological data landscape** from an architectural perspective as well as a good understanding of the digitization of BI and ML business models are welcome
* You are **fluent in English** and **speak German** at least **at** **B1 level**

  
What are you waiting for?

Join our team at **Machine Learning Reply** in **Munich, Berlin, Hambur** or **remote from all across Germany!**  

Employee

Entry level

<h2 id="job-description">Job Description</h2>
At 
<h2 id="machine-learning-reply-germany-we-work-with-our-clients-on-leading-edge-data-project-for-which-we-are-seeking-data-analytics-consultants-with-a-strong-economics-and-it-background-to-serve-our-cloud-based-client-projects-in-multiple-industries">Machine Learning Reply Germany we work with our clients on leading-edge data project for which we are seeking Data Analytics consultants with a strong economics and IT background to serve our cloud based client projects in multiple industries.</h2>
Machine Learning Reply, with its sister company in Italy and over 10.000 employees at Reply globally, is a fast-growing consultancy focused on solving problems with data intelligence and the right organizational frameworks as their backbone. We offer tailor-made end-to-end solutions in the Data Analytics Ecosystem that cover the entire project lifecycle - from initial strategy consulting to data architecture, data processing, modeling and implementation in production.
We are a tight knit, laid back, but seriously motivated unit that aims to be involved at conferences and in community of practices with our tech partners. 
Whether you are already experienced in Data Analytics or just graduated having gained first experience in data technologies - If you never lose focus, are numbers driven, and passionate about technologies - t hen we want to hear from you!
<h2 id="responsibilities">Responsibilities</h2>
<ul>
<li>As a Data Analytics Consultant, you will develop data warehouse solutions for our clients based on their challenges</li>
<li>You will be responsible for formulating business requirements and translating them into technology requirements as part of a data warehouse/cloud roadmap and initial data warehouse architectures</li>
<li>Analyze raw data from our customers&#39; source systems, transform it and create meaningful business applications</li>
<li>You work closely with our data scientists, data engineers and solution architects to ensure the smooth implementation of projects</li>
<li>You leverage your strong communication skills in meetings and workshops to convince our customers with business cases, qualitative assessments and demos and to present the results effectively</li>
</ul>
<h2 id="what-we-offer-you">What we offer you</h2>
<ul>
<li>Flexible working hours, an attractive salary and a competitive overall package (e.g., 30 days of vacation)</li>
<li>Flexible work environment between client, Reply office and home office</li>
<li>Very active group social program, including trainings, knowledge-sharing sessions, conferences, team buildings, group events, Reply Exchange, communities of practices and hackathons</li>
<li>Trainings and certifications are encouraged and paid to foster your personal development</li>
<li>You choose your state-of-the-art work equipment</li>
<li>Access to our mobility scheme with Job Rad and public transport tickets</li>
<li>Gym-membership subsidy for a gym of your choice</li>
<li>Work in an open, flat environment, within a broad Reply knowledge-sharing-network</li>
<li>Working in a modern company, with the dynamics of a start-up and the security of a corporation. We are driving digital change in small, innovative, international teams</li>
<li>Award winning office spaces for an excellent work experience and access to &quot;Stammstrecke&quot;</li>
</ul>
<h2 id="requirements">Requirements</h2>
We are looking forward to your Master&#39;s degree with a strong quantitative and economic background, for example in business informatics, economics or computer science
<ul>
<li>You have a basic understanding of the integration of different source systems and connectors in a coordinated and efficient approach based on on-premise and cloud technologies, ideally with Microsoft Azure or AWS</li>
<li>You have good knowledge of SQL, database technologies and data modeling techniques (Star Schema, Data Vault or Snowflake) and can assess the advantages and disadvantages well</li>
<li>You are familiar with Python and have practical experience with big data tools (Apache Spark, Databricks, etc.)</li>
<li>You understand the concept of DevOps and have hands-on experience with Git Source Code Management (SCM)</li>
<li>You have experience with setting up workflow orchestration (Apache Airflow, Dagster, etc.)</li>
<li>You have a strong understanding of industry best practices related to data lakes and data warehouses</li>
<li>Experience with or interest in shaping the technological data landscape from an architectural perspective as well as a good understanding of the digitization of BI and ML business models are welcome</li>
<li>You are fluent in English and speak German at least at B1 level</li>
</ul>
What are you waiting for?
Join our team at Machine Learning Reply in Munich, Berlin, Hambur or remote from all across Germany!

Data Analytics Consultant (m/f/d)

Cloud & Machine Learning Consultant (m/f/d)

Full Stack Software Engineer (m/f/d)

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