Data (DevOps) Engineer Job at IVY Partners (Genève)

Cloud Technical Architect / Data DevOps Engineer

The role involves designing, implementing, and optimizing scalable Big Data and ...

Location

United Kingdom , Bristol

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

An organised and methodical approach
Excellent time keeping and task prioritisation skills
An ability to provide clear and concise updates
An ability to convey technical concepts to all levels of audience
Data engineering skills – ETL/ELT
Technical implementation skills – application of industry best practices & designs patterns
Technical advisory skills – experience in researching technological products / services with the intent to provide advice on system improvements
Experience of working in hybrid environments with both classical and DevOps
Excellent written & spoken English skills
Excellent knowledge of Linux operating system administration and implementation

Job Responsibility

Detailed development and implementation of scalable clustered Big Data solutions, with a specific focus on automated dynamic scaling, self-healing systems
Participating in the full lifecycle of data solution development, from requirements engineering through to continuous optimisation engineering and all the typical activities in between
Providing technical thought-leadership and advisory on technologies and processes at the core of the data domain, as well as data domain adjacent technologies
Engaging and collaborating with both internal and external teams and be a confident participant as well as a leader
Assisting with solution improvement activities driven either by the project or service
Support the design and development of new capabilities, preparing solution options, investigating technology, designing and running proof of concepts, providing assessments, advice and solution options, providing high level and low level design documentation
Cloud Engineering capability to leverage Public Cloud platform using automated build processes deployed using Infrastructure as Code
Provide technical challenge and assurance throughout development and delivery of work
Develop re-useable common solutions and patterns to reduce development lead times, improve commonality and lowering Total Cost of Ownership
Work independently and/or within a team using a DevOps way of working

What we offer

Extensive social benefits
Flexible working hours
Competitive salary
Shared values
Equal opportunities
Work-life balance
Evolving career opportunities
Comprehensive suite of benefits that supports physical, financial and emotional wellbeing

Fulltime

Software Engineer (Data Engineering)

We are seeking a Software Engineer (Data Engineering) who can seamlessly integra...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

4+ years in Data Engineering and AI/ML roles
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
Python, SQL, Bash, PySpark, Spark SQL, boto3, pandas
Apache Spark on EMR (driver/executor model, sizing, dynamic allocation)
Amazon S3 (Parquet) with lifecycle management to Glacier
AWS Glue Catalog and Crawlers
AWS Step Functions, AWS Lambda, Amazon EventBridge
CloudWatch Logs and Metrics, Kinesis Data Firehose (or Kafka/MSK)
Amazon Redshift and Redshift Spectrum
IAM (least privilege), Secrets Manager, SSM

Job Responsibility

Design, build, and maintain scalable ETL and ELT pipelines for large-scale data processing
Develop and optimize data architectures supporting analytics and ML workflows
Ensure data integrity, security, and compliance with organizational and industry standards
Collaborate with DevOps teams to deploy and monitor data pipelines in production environments
Build predictive and prescriptive models leveraging AI and ML techniques
Develop and deploy machine learning and deep learning models using TensorFlow, PyTorch, or Scikit-learn
Perform feature engineering, statistical analysis, and data preprocessing
Continuously monitor and optimize models for accuracy and scalability
Integrate AI-driven insights into business processes and strategies
Serve as the technical liaison between NStarX and client teams

What we offer

Competitive salary and performance-based incentives
Opportunity to work on cutting-edge AI and ML projects
Exposure to global clients and international project delivery
Continuous learning and professional development opportunities
Competitive base + commission
Fast growth into leadership roles

Fulltime

Data Engineer

The Data Engineer is accountable for developing high quality data products to su...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

First Class Degree in Engineering/Technology/MCA
3 to 4 years’ experience implementing data-intensive solutions using agile methodologies
Experience of relational databases and using SQL for data querying, transformation and manipulation
Experience of modelling data for analytical consumers
Ability to automate and streamline the build, test and deployment of data pipelines
Experience in cloud native technologies and patterns
A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
Excellent communication and problem-solving skills
ETL: Hands on experience of building data pipelines. Proficiency in at least one of the data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica
Big Data: Exposure to ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing

Job Responsibility

Developing and supporting scalable, extensible, and highly available data solutions
Deliver on critical business priorities while ensuring alignment with the wider architectural vision
Identify and help address potential risks in the data supply chain
Follow and contribute to technical standards
Design and develop analytical data models

Fulltime

Data Engineer

The Data Engineer is accountable for developing high quality data products to su...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

First Class Degree in Engineering/Technology/MCA
5 to 8 years’ experience implementing data-intensive solutions using agile methodologies
Experience of relational databases and using SQL for data querying, transformation and manipulation
Experience of modelling data for analytical consumers
Ability to automate and streamline the build, test and deployment of data pipelines
Experience in cloud native technologies and patterns
A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
Excellent communication and problem-solving skills
ETL: Hands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica
Big Data: Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing

Job Responsibility

Developing and supporting scalable, extensible, and highly available data solutions
Deliver on critical business priorities while ensuring alignment with the wider architectural vision
Identify and help address potential risks in the data supply chain
Follow and contribute to technical standards
Design and develop analytical data models

Fulltime

Senior Data Engineer

Our Senior Data Engineers enable public sector organisations to embrace a data-d...

Location

United Kingdom , Bristol; London; Manchester; Swansea

Salary:

60000.00 - 80000.00 GBP / Year

Made Tech

Expiration Date

Until further notice

Requirements

Enthusiasm for learning and self-development
Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies
Gathering and meeting the requirements of both clients and users on a data project
Strong experience in IaC and able to guide how one could deploy infrastructure into different environments
Owning the cloud infrastructure underpinning data systems through a DevOps approach
Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop
Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different use cases for them
Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines. With an understanding how to create reusable libraries to encourage uniformity of approach across multiple data pipelines.
Able to document and present an end-to-end diagram to explain a data processing system on a cloud environment, with some knowledge of how you would present diagrams (C4, UML etc.)
To provide guidance how one would implement a robust DevOps approach in a data project. Also would be able to talk about tools needed for DataOps in areas such as orchestration, data integration and data analytics.

Job Responsibility

Enable public sector organisations to embrace a data-driven approach by providing data platforms and services that are high-quality, cost-efficient, and tailored to clients’ needs
Develop, operate, and maintain these services
Provide maximum value to data consumers, including analysts, scientists, and business stakeholders
Play one or more roles according to our clients' needs
Support as a senior contributor for a project, focusing on both delivering engineering work as well as upskilling members of the client team
Play more of a technical architect role and work with the larger MadeTech team to identify growth opportunities within the account
Have a drive to deliver outcomes for users
Make sure that the wider context of a delivery is considered and maintain alignment between the operational and analytical aspects of the engineering solution

What we offer

30 days of paid annual leave + bank holidays
Flexible Parental Leave
Part time remote working for all our staff
Paid counselling as well as financial and legal advice
Flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan
Optional social and wellbeing calendar of events

Fulltime

Senior Data Engineer

At Ingka Investments (Part of Ingka Group – the largest owner and operator of IK...

Location

Netherlands , Leiden

Salary:

Not provided

IKEA

Expiration Date

Until further notice

Requirements

Formal qualifications (BSc, MSc, PhD) in computer science, software engineering, informatics or equivalent
Minimum 3 years of professional experience as a (Junior) Data Engineer
Strong knowledge in designing efficient, robust and automated data pipelines, ETL workflows, data warehousing and Big Data processing
Hands-on experience with Azure data services like Azure Databricks, Unity Catalog, Azure Data Lake Storage, Azure Data Factory, DBT and Power BI
Hands-on experience with data modeling for BI & ML for performance and efficiency
The ability to apply such methods to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration
Experience in driving new data engineering developments (e.g. apply new cutting edge data engineering methods to improve performance of data integration, use new tools to improve data quality and etc.)
Knowledge of DevOps practices and tools including CI/CD pipelines and version control systems (e.g., Git)
Proficiency in programming languages such as Python, SQL, PySpark and others relevant to data engineering
Hands-on experience to deploy code artifacts into production

Job Responsibility

Contribute to the development of D&A platform and analytical tools, ensuring easy and standardized access and sharing of data
Subject matter expert for Azure Databrick, Azure Data factory and ADLS
Help design, build and maintain data pipelines (accelerators)
Document and make the relevant know-how & standard available
Ensure pipelines and consistency with relevant digital frameworks, principles, guidelines and standards
Support in understand needs of Data Product Teams and other stakeholders
Explore ways create better visibility on data quality and Data assets on the D&A platform
Identify opportunities for data assets and D&A platform toolchain
Work closely together with partners, peers and other relevant roles like data engineers, analysts or architects across IKEA as well as in your team

What we offer

Opportunity to develop on a cutting-edge Data & Analytics platform
Opportunities to have a global impact on your work
A team of great colleagues to learn together with
An environment focused on driving business and personal growth together, with focus on continuous learning

Fulltime

Lead Data Engineer

As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in...

Location

United Kingdom , Any UK Office Hub (Bristol / London / Manchester / Swansea)

Salary:

80000.00 - 96000.00 GBP / Year

Made Tech

Expiration Date

Until further notice

Requirements

Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies
Strong experience in IaC and able to guide how one could deploy infrastructure into different environments
Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop
Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes)
Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines
You understand how to create reusable libraries to encourage uniformity or approach across multiple data pipelines
Able to document and present end-to-end diagrams to explain a data processing system on a cloud environment
Some knowledge of how you would present diagrams (C4, UML, etc.)
Enthusiasm for learning and self-development
You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban

Job Responsibility

Define, shape and perfect data strategies in central and local government
Help public sector teams understand the value of their data, and make the most of it
Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP
Contribute to our recruitment efforts and take on line management responsibilities
Help implement efficient data pipelines & storage

What we offer

30 days of paid annual leave
Flexible parental leave options
Part time remote working for all our staff
Paid counselling as well as financial and legal advice
7% employer matched pension
Flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan
Optional social and wellbeing calendar of events

Fulltime

DevOps Engineer

BioCatch is the leader in Behavioral Biometrics, a technology that leverages mac...

Location

Israel , TLV

Salary:

Not provided

BioCatch

Expiration Date

Until further notice

Requirements

5+ Years of Experience: Demonstrated experience as a DevOps professional, with a strong focus on big data environments, or Data Engineer with strong DevOps skills
Data Components Management: Experiences managing and designing data infrastructure, such as Snowflake, PostgreSQL, Kafka, Aerospike, and Object Store
DevOps Expertise: Proven experience creating, establishing, and managing big data tools, including automation tasks. Extensive knowledge of DevOps concepts and tools, including Docker, Kubernetes, Terraform, ArgoCD, Linux OS, Networking, Load Balancing, Nginx, etc.
Programming Skills: Proficiency in programming languages such as Python and Object-Oriented Programming (OOP), emphasizing big data processing (like PySpark). Experience with scripting languages like Bash and Shell for automation tasks
Cloud Platforms: Hands-on experience with major cloud providers such as Azure, Google Cloud, or AWS

Job Responsibility

Data Architecture Direction: Provide strategic direction for our data architecture, selecting the appropriate componments for various tasks. Collaborate on requirements and make final decisions on system design and implementation
Project Management: Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance
Cost Optimization: Monitor and optimize cloud costs associated with data infrastructure and processes
Efficiency and Reliability: Design and build monitoring tools to ensure the efficiency, reliability, and performance of data processes and systems
DevOps Integration: Implement and manage DevOps practices to streamline development and operations, focusing on infrastructure automation, continuous integration/continuous deployment (CI/CD) pipelines, containerization, orchestration, and infrastructure as code. Ensure scalable, reliable, and efficient deployment processes

Fulltime

Data (DevOps) Engineer

IVY Partners

Location:
Switzerland , Genève

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 09, 2025

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