Senior Cloud Data Engineer, Keyrus

OCI

Salary not provided

+ Discretionary Bonus Scheme

Python
Kafka
Airflow
Hadoop
Spark
Oracle
Senior and Expert level
London

More information about location

Keyrus

AI-driven toolkit for data analytics

Open for applications

Keyrus

AI-driven toolkit for data analytics

1001+ employees

B2BArtificial IntelligenceBig dataMarketingAnalyticsSaaSData Analysis

Open for applications

Salary not provided

+ Discretionary Bonus Scheme

Python
Kafka
Airflow
Hadoop
Spark
Oracle
Senior and Expert level
London

More information about location

1001+ employees

B2BArtificial IntelligenceBig dataMarketingAnalyticsSaaSData Analysis

Company mission

Keyrus's mission is to "make data matter".

Role

Who you are

  • If you are looking to join an innovative company that has the support of an internationally recognised brand, we encourage you to apply
  • Keyrus is looking for a Senior Cloud Data Engineer to join our team and play a pivotal role in building and maintaining our data infrastructure
  • At least 8 years of experience as a Data Engineer
  • Solid experience with Oracle Cloud data platforms, databases, data lakes, and data warehouses
  • Deep understanding of data integration technologies, specifically Apigee, OCI and data integration services (ODI, DataFlow)
  • Experience with data engineering tools and frameworks such as Apache Spark, Hadoop, Kafka, and Airflow
  • Strong proficiency in Python programming for data engineering tasks
  • Experience with data modelling and data warehousing concepts
  • Knowledge of data quality and profiling techniques
  • Ability to work effectively in a fast-paced, agile environment
  • At least 5 years of experience as a Data Engineer

What the job involves

  • Keyrus is looking for a Senior Cloud Data Engineer to join our team and play a pivotal role in building and maintaining our data infrastructure
  • As a Senior Cloud Data Engineer, you will be responsible for designing, developing, and managing data pipelines that efficiently extract, transform, and load data into our target systems
  • Design, develop, and maintain robust and scalable data pipelines using Cloud and Cloud infrastructure platforms and technologies, preference OCI (Oracle Cloud Infrastructure)
  • Develop data ingestion processes from various sources, including APIs, databases, and files, into the target data environment
  • Implement data quality checks and validation procedures to ensure data integrity and accuracy
  • Optimize data pipelines for performance and efficiency
  • Collaborate with data analysts and data scientists to understand their data requirements and translate them into technical specifications
  • Troubleshoot and resolve data pipeline issues in a timely manner
  • Stay up-to-date with the latest data engineering technologies and best practices
  • You will be part of a young and ever learning enterprise with an established international network of thought leading professionals driven by bridging the gap between innovation and business
  • You get the opportunity to meet specialised and professional consultants in a multicultural ecosystem

Application process

  • We usually respond within a week

Salary benchmarks

Our take

Data is an invaluable resource to modern businesses, empowering actionable insights that can significantly optimize business operations. However, the massive quantities of data that must be analyzed to achieve such insights can be problematic to work with, requiring vast teams of data engineers and analytic infrastructure.

Keyrus provides a 'playbook' suite of AI-driven data analytics tools, helping businesses maximize their data’s value without the need for large-scale data engineering teams. The company's tools primarily focus on optimizing user experiences across software and web products on any platform and offering data-driven tools for cloud-based technology, cybersecurity, and overall business digitization, transformation, and innovation.

Whilst the company will face competition from startups producing specialized AI-driven tools for businesses, Keyrus shows excellent potential to compete due to its unified approach to applying AI to data analysis. Through this approach, the company aims to empower businesses to maximize the potential of their data with unfragmented white-label tools and consultancy, future-proofing their operations without the need for unaffordable data engineering hires.

Kirsty headshot

Kirsty

Company Specialist

Insights

Few candidates hear
back within 2 weeks

2% employee growth in 12 months

Company

Company benefits

  • Access to our KLX platform with + 10.000 pieces of training
  • Informal work environment where you get coached by experts and receive support to help you in your professional and personal growth
  • Pension scheme
  • Private medical insurance
  • Annual bonus
  • The chance to work with different technologies
  • Be part of a company that wants to have an impact on the (digital) future
  • An international, start-up mindset community of experts spread across 18 countries

Company values

  • Excellence - We are experts who strive to exceed expectations
  • Trust - We encourage openness & transparency amongst colleagues to foster positive working relationships
  • Creativity - We reach out from our comfort zones to turn creative ideas into reality
  • Kindness - We demonstrate empathy & concern for the well-being of others
  • Fun - We take pleasure in everything we do

Company HQ

Levallois-Perret, France

Leadership

Bruno Dehouck

(Managing Director)

Experience as Manager of KPMG from 2002 to 2004. Associate for KERTIOS from 2004 to 2008.

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