Senior Data Engineer

All Cloud BSD; Berlin; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A global professional services firm in Berlin is seeking a Senior Data Engineer to migrate and optimize databases in the cloud. The role requires 5+ years of experience, expertise with big data tools, and fluency in both German and English. The ideal candidate will join a dynamic team to enhance data architectures and support various systems and products.

Leistungen

Competitive salaries

Bonus incentives

Flexible hours

Mentoring

Qualifikationen

• 5+ years of experience in a Data Engineer role in a cloud native ecosystem.
• Experience building and optimizing ‘big data’ pipelines and architectures.
• Fluency in German and English is essential.

Aufgaben

• Design and operate infrastructure for optimal data extraction, transformation, and loading.
• Optimize various RDBMS engines in the cloud.
• Work with stakeholders to assist with data-related technical issues.

Kenntnisse

Data engineering

Cloud services

Big data tools (Spark, ElasticSearch)

SQL and NoSQL databases

Scripting languages (Python, Java, Scala)

Communication skills

Team player

Ausbildung

Bachelor's or Graduate degree in a quantitative field

Tools

AWS Cloud data services

MySQL

Postgres

DynamoDB

Kafka

Kinesis

Jobbeschreibung

About AllCloud

AllCloud is a global professional services company that provides organizations with the tools for cloud enablement and transformation. As an AWS Premier Consulting Partner and audited MSP, a Salesforce Platinum Partner, and a Snowflake Premier Partner, AllCloud helps clients connect their front and back offices by building a new operating model that allows them to harness the benefits of cloud technology, data, and analytics.

Job Summary

AllCloud is looking for a savvy Senior Data Engineer to join our growing team of data experts. The hire will be responsible for migrating to the cloud, optimizing our customers’ databases and data flows, and enriching our operational and functional data flows with AI/ML algorithms.

The ideal candidate is not afraid of data in any form or scale, and is experienced with cloud services to ingest, stream, store, and manipulate data. The Data Engineer will support new system designs and migration of existing ones, working closely with solutions architects, project managers, and data scientists. The candidate must be self-directed, a fast learner, and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or re-designing our customers’ data architecture to support their next generation of products and data initiatives and machine learning systems.

Responsibilities

• Keep our customers’ data separated and secure to meet compliance and regulations requirements.
• Design, Build and Operate the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, cloud migration tools and ‘big data’ technologies.
• Optimize various RDBMS engines in the cloud and solve customers' security, performance and operation problems.
• Design, build and operate large, complex data lakes that meet functional / non-functional business requirements.
• Optimize various data types ingestion, storage, processing and retrieval from near real-time events, and IoT, to unstructured data as images, audio, video and documents, and in between.
• Work with customers' and internal stakeholders including the Executive, Product, Data, Software Development and Design teams to assist with data-related technical issues and support their data infrastructure and business needs.

Requirements

• 5+ years of experience in a Data Engineer role in a cloud native ecosystem.
• Bachelor's (or Graduate preferred) degree in Computer Science, Mathematics, Informatics, Information Systems, or another quantitative field.
• Working experience with the following technologies/tools:
• Big data tools: Spark, ElasticSearch, Kafka, Kinesis, etc.
• Relational SQL and NoSQL databases, such as MySQL or Postgres, and DynamoDB or Cassandra.
• AWS Cloud data services.
• Functional and scripting languages: Python, Java, Scala, etc.
• Advanced SQL
• Experience building and optimizing ‘big data’ pipelines, architectures, and data sets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ stores.
• Experience supporting and working with external customers in a dynamic environment.
• Articulate with great communication and presentation skills
• Team player who can train as well as learn from others.
• Fluency in German and English is essential

Why work for us?

Our team inspires progress in each other and in our customers through our relentless pursuit of excellence; you will work with leaders who promote learning and personal development. We offer competitive salaries, bonus incentives, benefits, flexible hours, and mentoring. Apply now to become part of the team.

AllCloud is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law.