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For Permanent

Cloud Data Engineer (w/m/d) - in Frankfurt

Germany, Hessen, Frankfurt

  • €60,000 to €85,000 EUR
  • Engineer Role
  • Seniority: Mid-level

Job description

Wir suchen für den Fachbereich Data & Analytics von einem Kunden in ganz Deutschland:

Cloud Data Engineer (w/m/d)

Anforderungen:

- Erfahrung mit Cloud Analystics (Azure, AWS, GCP) oder Big Data (Haddop, Kafka)
- Know-How in der Softwareentwicklung mit Java, Scala oder Python
- Von Vorteil: Erfahrung mit Buildtools und CI/CD Pipelines
- Von Vorteil: gute Kenntnisse von verschiedenen Cloud-Strategien und lac Technologien
- Verhandlungssicheres Deutsch- und gute Englischkenntnisse

Worum es geht:

Das Unternehmen ist einer der führenden IT-Dienstleister im deutschsprachigen Raum. Mit rund 6.800 Mitarbeitenden unterstützt das Unternehmen Kunden aus verschiedenen Branchen bei der Digitalen Transformation.

Das Competence Center Data Engineering ist verantwortlich für die Umsetzung komplexer Big Data und Cloud Analytics Projekte für namhafte große Kunden. Als Data Engineer bist du Teil eines innovativen und stetig wachsenden Software Engineering Teams. Du profitierst von erfahrenen Kolleginnen und Kollegen und absolvierst ein spezielles Ausbildungsprogramm, um dein Wissen auszubauen und zu vertiefen.

Deine Aufgaben als Cloud Data Engineer:

* Implementieren von Data Pipelines, Data Ingest und Data Processing
* Engineering von Container basierten Analytics Plattformen und effizienten CI/CD Pipelines
* Projektbasierte Umsetzung von Business Anforderungen mit Analytics Services von AWS, Azure und GCP oder etablierten On Premises Big Data Technologien
* StetigeWeiterbildung in Technologienausdem Cloud- und Software Engineering-Umfeld

Dafür wird dir geboten:

* 30 Tage Urlaubstage im Jahr
* Zeitliche und örtliche Flexibilität (bundesweit remote möglich + 2 - 4 Monate pro Jahr Remote-Arbeit aus dem (EU-)Ausland möglich je nach Aufgabenbereiche
* Offene Unternehmenskultur, dynamisches Arbeitsumfeld und moderner Führungsstil
* Spannende abwechslungsreiche Projekte im Cloud-Umfeld mit unterschiedlichen Industrien
* Projektzuweisung, die deiner Kapazität und deinem Interesse entspricht
* Etabiliertes Umfeld, in dem du dich technisch und professionell weiterentwickeln kannst
* Unterstützung deiner persönlichen und fachlichen Weiterentwicklung mit einem breiten Angebot von Weiterbildungen und Zertifizierungen
* Patenschaft von fachlichen Kolleg*innen und solides On-Boarding Programm
* Freiraum für eigene Kreativität und Entwicklung

Hiring Process:

1st Gespräch mit dem Fachbereich - 2nd Gespräch mit dem Fachbereich - Angebot/Absage

Für denselben Geschäftsbereich suchen wir ebenfalls nach DataOps Engineers, Data Architects und Consultants in ganz Deutschland. Bewerbe dich gerne bei uns, auch wenn du nicht alle Anforderungen erfüllen kannst.

Impressum - https://www.frankgroup.com/de/impressum/

Cloud Data Engineer (w/m/d) - in Bremen

Germany, Bremen

  • €60,000 to €85,000 EUR
  • Engineer Role
  • Seniority: Mid-level

Job description

Wir suchen für den Fachbereich Data & Analytics von einem Kunden in ganz Deutschland:

Cloud Data Engineer (w/m/d)

Anforderungen:

- Erfahrung mit Cloud Analystics (Azure, AWS, GCP) oder Big Data (Haddop, Kafka)
- Know-How in der Softwareentwicklung mit Java, Scala oder Python
- Von Vorteil: Erfahrung mit Buildtools und CI/CD Pipelines
- Von Vorteil: gute Kenntnisse von verschiedenen Cloud-Strategien und lac Technologien
- Verhandlungssicheres Deutsch- und gute Englischkenntnisse

Worum es geht:

Das Unternehmen ist einer der führenden IT-Dienstleister im deutschsprachigen Raum. Mit rund 6.800 Mitarbeitenden unterstützt das Unternehmen Kunden aus verschiedenen Branchen bei der Digitalen Transformation.

Das Competence Center Data Engineering ist verantwortlich für die Umsetzung komplexer Big Data und Cloud Analytics Projekte für namhafte große Kunden. Als Data Engineer bist du Teil eines innovativen und stetig wachsenden Software Engineering Teams. Du profitierst von erfahrenen Kolleginnen und Kollegen und absolvierst ein spezielles Ausbildungsprogramm, um dein Wissen auszubauen und zu vertiefen.

Deine Aufgaben als Cloud Data Engineer:

* Implementieren von Data Pipelines, Data Ingest und Data Processing
* Engineering von Container basierten Analytics Plattformen und effizienten CI/CD Pipelines
* Projektbasierte Umsetzung von Business Anforderungen mit Analytics Services von AWS, Azure und GCP oder etablierten On Premises Big Data Technologien
* StetigeWeiterbildung in Technologienausdem Cloud- und Software Engineering-Umfeld

Dafür wird dir geboten:

* 30 Tage Urlaubstage im Jahr
* Zeitliche und örtliche Flexibilität (bundesweit remote möglich + 2 - 4 Monate pro Jahr Remote-Arbeit aus dem (EU-)Ausland möglich je nach Aufgabenbereiche
* Offene Unternehmenskultur, dynamisches Arbeitsumfeld und moderner Führungsstil
* Spannende abwechslungsreiche Projekte im Cloud-Umfeld mit unterschiedlichen Industrien
* Projektzuweisung, die deiner Kapazität und deinem Interesse entspricht
* Etabiliertes Umfeld, in dem du dich technisch und professionell weiterentwickeln kannst
* Unterstützung deiner persönlichen und fachlichen Weiterentwicklung mit einem breiten Angebot von Weiterbildungen und Zertifizierungen
* Patenschaft von fachlichen Kolleg*innen und solides On-Boarding Programm
* Freiraum für eigene Kreativität und Entwicklung

Hiring Process:

1st Gespräch mit dem Fachbereich - 2nd Gespräch mit dem Fachbereich - Angebot/Absage

Für denselben Geschäftsbereich suchen wir ebenfalls nach DataOps Engineers, Data Architects und Consultants in ganz Deutschland. Bewerbe dich gerne bei uns, auch wenn du nicht alle Anforderungen erfüllen kannst.

Impressum - https://www.frankgroup.com/de/impressum/

Data Engineer - Real Estate - Oslo

Norway, Oslo

  • NOK 800,000 to NOK 1,100,000 NOK
  • Engineer Role
  • Skills: MS BI, Microsoft BI, Azure, Data Lake, Power Platform, Power BI, PowerApps, CDM, CDS, Technical, Python, CI/CD, DevOps
  • Seniority: Senior

Job description

Exciting opportunity for a Senior Data Engineer position in the Real Estate sector! A European company is expanding their Data & Insight team to contribute significant insights into their business and market. As a data engineer, you will be responsible for gathering data from various sources and transforming it for business use.

The company is continuously modernizing their data platform on Microsoft technologies and exploring the possibilities of Fabric. They heavily rely on this small dynamic team to make informed decisions.

As a company with multiple offices across Europe, with a portfolio of properties north of 150k, and a Head Office based in Oslo, you will be tasked with helping to create a centralised data platform on Azure

With various data sources from property portfolios across Europe, and multiple types of data (operational, customer, transactional) there are plenty of challenges to get in to!

As part of a smaller team with great flexibility, you will not only have the opportunity to broaden your skill-set working on such a modern platform, but you'll also work very closely with business and users to make the most out of it.

* Bachelors/Masters in an Engineering or IT related subject
* 3+ years of experience in data engineering, datawarehouse development, or similar
* Proficiency with SQL or Python and comfortable gathering data from various platforms and data sets
* A good understanding of visualisation tools, preferably Power BI
* Good understanding of ETL processes and relational databases
* Experience working with Azure (Data Factory, Data Lake, Synapse)
* Advantageous if you have been involved with Fabric

Along with excellent opportunities for technical development, there are opportunities to progress your career as an early member of the analytics environment in the company, helping to shape the working methods and being a key part of the decision-making process

You will also receive a fair & competitive salary, along with an enhanced pension and insurance package

There is funding for professional courses, along with internal workshops that you can take part in

All equipment for your role will be provided - both software & hardware

You can also take advantage of the social benefits on offer to make your time at work, and outside of work, more enjoyable!

With regular gatherings, lunches, hobby groups, and company-wide get togethers, you will be truly welcomed to your working family!

Please contact Lewis Reeves on l.reeves@frankgroup.com

AWS Data Engineer, London, Hybrid

England, London

  • £50,000 to £65,000 GBP
  • Engineer Role
  • Skills: AWS, Python, Pyspark, Glue, RedShift
  • Seniority: Mid-level

Job description

AWS Data Engineer, London, Hybrid, £65,000

Role Overview

We are looking for an experienced AWS Data Cloud engineer to join our team. In this role, you will be responsible for designing, deploying, and maintaining our cloud-based infrastructure based on Amazon Web Services and, occasionally, other technologies. You will collaborate with other teams to ensure our cloud environment meets all architectural, operational, and integration requirements.

Skills/Qualifications:

* Bachelor's degree in Computer Science or any other Engineering field
* Certification in AWS Solution Developer/Solution Architect
* 3+ years of hands-on experience as a data engineer within AWS Cloud
* Expertise and hands-on experience in

1 AWS Glue
2 AWS Lambda
3 API Gateway,
4 S3, Amazon Redshift
5 Apache Airflow
6 Infrastructure and architectural best practices supporting Amazon Redshift

* Experience with cloud platforms
* Expertise in collecting, migrating and transforming data using Python, SQL, Spark
* Experience in REST APIs for data transfers
* Experience in modern data processing platforms, data warehouses and data lakes
* Expert skills in building cloud-based data pipelines using data orchestration and workflow platforms
* Advanced SQL skills, with a deep understanding of how to write performant SQL and debug problems
* Experienced with Agile development methodologies, processes, and procedures
* Developing and maintaining applications written for Amazon Simple Queue Service, Amazon Simple Notification Service and Amazon EventBridge.
* Leveraging AWS SDKs to interact with AWS services from your application
* Knowledge and experience with testing, releasing, and CI/CD pipeline deployments into AWS using tools like GitHub, CircleCI, BitBucket
* Demonstrated ability to build self-service, self-healing, highly scalable and secure cloud software capabilities

Please reach out with your latest CV.

AWS Data Engineer, London, Hybrid

England, London

  • £50,000 to £65,000 GBP
  • Engineer Role
  • Skills: AWS, Python, Pyspark, Glue, RedShift
  • Seniority: Mid-level

Job description

AWS Data Engineer (Pyspark), London, Hybrid, £65,000

Role Overview

We are looking for an experienced AWS Data Cloud engineer to join our team. In this role, you will be responsible for designing, deploying, and maintaining our cloud-based infrastructure based on Amazon Web Services and, occasionally, other technologies. You will collaborate with other teams to ensure our cloud environment meets all architectural, operational, and integration requirements.

Skills/Qualifications:

* Bachelor's degree in Computer Science or any other Engineering field
* Certification in AWS Solution Developer/Solution Architect
* 3+ years of hands-on experience as a data engineer within AWS Cloud
* Expertise and hands-on experience in

1 AWS Glue
2 AWS Lambda
3 API Gateway,
4 S3, Amazon Redshift
5 Apache Airflow
6 Infrastructure and architectural best practices supporting Amazon Redshift

* Experience with cloud platforms
* Expertise in collecting, migrating and transforming data using Python, SQL, Spark
* Experience in REST APIs for data transfers
* Experience in modern data processing platforms, data warehouses and data lakes
* Expert skills in building cloud-based data pipelines using data orchestration and workflow platforms
* Advanced SQL skills, with a deep understanding of how to write performant SQL and debug problems
* Experienced with Agile development methodologies, processes, and procedures
* Developing and maintaining applications written for Amazon Simple Queue Service, Amazon Simple Notification Service and Amazon EventBridge.
* Leveraging AWS SDKs to interact with AWS services from your application
* Knowledge and experience with testing, releasing, and CI/CD pipeline deployments into AWS using tools like GitHub, CircleCI, BitBucket
* Demonstrated ability to build self-service, self-healing, highly scalable and secure cloud software capabilities

Please reach out with your latest CV.

Data Engineer

Belgium, Brussels

  • €3,500 to €5,500 EUR
  • Engineer Role
  • Skills: Databricks, Datalake, Snowflake, SQL, Data Vault, Kimball, DBT. etc.
  • Seniority: Mid-level

Job description

Data Engineer

Brussels

Up to 5000€/ monthly + benefits



Our client, a leading global company with a vast team of data enthusiasts, is actively seeking a skilled Data Engineer to contribute to their clients' digital transformation initiatives.

This opportunity presents an exciting prospect for individuals passionate about data and its role in digital transformations, while embracing a values-driven work culture. Our client has attained the Top Employer certification and their core values promoting honesty, trust, freedom, and team spirit.

We are now seeking for a Data Engineer to join their diverse Cloud/Data Department. Responsibilities include:

* Integrate, transform, and streamline data from various sources, ensuring optimal performance and reliability based on specific business needs.
* Oversee and optimize data pipelines and storage systems to meet performance and efficiency requirements.
* Develop effective data models by translating functional requirements into technically sound designs.

Qualifications and Desired Skills:

* Familiarity with leading data platforms such as Azure, Databricks, Snowflake, as well as associated infrastructure and CI/CD processes.
* Proficiency in SQL, T-SQL, and experience with DBT.
* Understanding of Data Modeling methodologies like Kimball and Data Vault 2.0.
* Knowledge of Lakehouse principles and medallion architecture.
* Relevant certifications ie: DP-203: Data Engineering on Microsoft Azure, Snowpro core/advanced and Databricks Lakehouse Professional considered a plus
* Strong communication skills in English (a must) and either Dutch or French.

Benefits:

* Yearly company bonus
* Company Car
* Health & Hospitalization insurance
* Pension plan
* Meal and representation allowances
* Training budget
* Laptop and sim card