Devops Data Engineer Job at Coherent Solutions

Fabric Data Engineer / Azure Data Engineer

Location

Salary:

Not provided

Myticas Consulting

Expiration Date

Until further notice

Requirements

Hands-on Data Engineer with strong Microsoft Fabric experience, including Lakehouse, OneLake, Data Factory/Pipelines, Warehousing, and Fabric ecosystem services
Strong Python development skills for data engineering, data transformation, automation, and pipeline development
Experience working with Microsoft Fabric Lakehouse architecture, including data ingestion, transformation, storage, and analytics enablement
Strong understanding of data engineering fundamentals, including data modeling, partitioning, optimization, and performance tuning
Experience supporting Azure Data Platform technologies, including Azure Data Factory, Azure Synapse Analytics, Azure Storage, and related services
Ability to work within large-scale enterprise data environments supporting multiple business units and data domains
Knowledge of Medallion Architecture (Bronze, Silver, Gold) and practical implementation of modern data lakehouse solutions
Experience integrating and transforming structured and semi-structured data sources including APIs, databases, JSON, CSV, and cloud-based systems
Understanding of Fabric operational monitoring, capacity consumption monitoring, and platform governance best practices
Ability to clearly explain and demonstrate the distinction between Fabric Files, Tables, Lakehouses, Warehouses, and OneLake storage concepts

Job Responsibility

Design, build, and support scalable ETL/ELT data pipelines across enterprise Azure environments
Ability to support integration across multiple systems, applications, databases, and cloud platforms

DevOps Engineer (Data Center)

We are looking for a Cloud Infrastructure Engineer to help shape and deliver a m...

Location

Salary:

Not provided

Coherent Solutions

Expiration Date

Until further notice

Requirements

7+ years of experience in cloud infrastructure engineering, with deep hands-on expertise in Microsoft Azure and production experience with at least two major cloud providers, such as Azure, AWS, or GCP
Strong experience with cloud networking, IAM, compute, IaaS/PaaS services, and Microsoft Entra ID / Azure AD, including conditional access, workload identity federation, SAML/SCIM, and service principal governance
Proven expertise in IaC using Terraform and/or Bicep, including governed landing zones, module registries, and cloud infrastructure migration
Hands-on experience designing and operating CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools, including pipeline-as-code, security scanning, and deployment gates
Solid understanding of zero-trust architecture, IT/OT boundary security, and industrial control environments such as SCADA, HMI, and ICS
Experience designing and validating disaster recovery architectures across regions and cloud providers, including RTO/RPO definition and automated failover testing
Familiarity with FinOps practices and tools, including cost tagging, spend attribution, showback/chargeback models, CloudHealth, CloudCor, or native cloud cost tools
Experience with policy-as-code frameworks such as Azure Policy, AWS SCPs, GCP Organization Policies, or Open Policy Agent
English level: B2 or higher

Job Responsibility

Lead the assessment and modernization of enterprise cloud workloads, defining migration roadmaps across retain, re-platform, refactor, and retire scenarios
Design governed multi-cloud landing zones across Azure, AWS, and/or GCP, standardizing networking, identity, policy, and account/subscription topology through Terraform and Bicep
Establish cloud-agnostic infrastructure practices, reusable IaC modules, and automated provisioning standards to reduce manual operations and subscription sprawl
Govern identity and access across cloud platforms, SaaS applications, and CI/CD workloads using Microsoft Entra ID, conditional access, workload identity federation, and service principal controls
Architect secure hybrid and cross-cloud connectivity, including ExpressRoute, SD-WAN, traffic segmentation, and low-latency data transfer patterns
Implement zero-trust security controls for IT/OT boundaries, including inspected and policy-enforced traffic flows for SCADA, HMI, ICS, and enterprise systems
Design resilient, highly available cloud architectures with defined RTO/RPO targets and automated disaster recovery validation
Build platform services, CI/CD templates, and self-service infrastructure capabilities that enable internal teams to consume cloud services through documented standards and APIs
Implement governance, policy-as-code, and FinOps practices to enforce security, compliance, cost tagging, spend attribution, and cloud cost optimization
Support strategic modernization initiatives, including Kubernetes adoption, application containerization, database optimization, and reduction of Windows server licensing costs

What we offer

Technical and non-technical training for professional and personal growth
Internal conferences and meetups to learn from industry experts
Support and mentorship from an experienced employee to help you professional grow and development
Health insurance
English courses
Sports activities to promote a healthy lifestyle
Flexible work options, including remote and hybrid opportunities
Referral program for bringing in new talent
Work anniversary program and additional vacation days

Senior DevOps Engineer - Data Platform

We are looking for a Senior DevOps Engineer - Data Platform to join the Data and...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

More than 5 years of experience as a DataOps Engineer or in a similar role, with a proven track record of building and maintaining complex data infrastructures
Strong proficiency in data engineering and infrastructure tools and technologies (Kubernetes, ArgoCD, Crossplane)
Expertise in programming languages like Python
Familiar with cloud infrastructure and services, preferably GCP, and have experience with infrastructure-as-code tools such as Terraform
Excellent problem-solving skills with a focus on identifying and resolving data infrastructure bottlenecks and performance issues

Job Responsibility

Maintain Data Product Controller to give stakeholders full responsibility for managing their data products in an automated way (via CI/CD and infrastructure as code) securely, reliably, governed and with full ownership
Maintain Data and AI Platform orchestrator (Dagster) to give the possibility to Data Product developers to orchestrate their Data Product in a decentralized way (Data Mesh), by owning their release process and job pipelines
Monitor data platform for performance and reliability, identify and troubleshoot issues, and implement proactive solutions to ensure availability
Offer observability components to enable developer teams and data product consumers to have the right level of knowledge of costs, data quality and data lineage
Monitor platform costs, identify optimizations and saving opportunities while collaborating with data engineers, data scientists, and other stakeholders

What we offer

Free comprehensive health insurance for you and your children
Parent Care Program: receive one additional month of leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
Up to 14 days of RTT
A subsidy from the work council to refund part of the membership to a sport club or a creative class
Lunch voucher with Swile card

Fulltime

Senior DevOps Engineer Customer Data Hub

The agile Release Train of the Customer Data Hub is responsible for the developm...

Location

Germany , Düsseldorf

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

A completed degree in engineering, computer science, business engineering or a comparable qualification
At least 8 years of experience operating complex system landscapes, ideally with a focus on K2View and Kafka platforms on AWS
Strong hands-on expertise in DevOps and automation tools (Jenkins / GitHub Actions, Git, Docker, Kubernetes, Terraform)
Solid experience with ITIL processes as well as monitoring and analytics tools (Grafana, Dynatrace, Datadog)
Outstanding problem-solving skills and proven experience in the strategic evolution of incident, problem and change management in productive K2View Fabric environments
Deep process and IT know-how in the telecommunications domain
Strong strategic and entrepreneurial mindset, with the ability to assess technical decisions in a business context
High consulting competence and confidence in communicating with management, business stakeholders and external partners in international, agile teams
Resilience and willingness to take responsibility, even in critical situations
Experience in functional leadership, coaching and steering international teams and suppliers

Job Responsibility

You develop and own the strategy for operating, deploying, initial loading and automating the Customer Data Hub platform in close collaboration with business, architecture and management
You ensure the end-to-end availability, scalability and security of the system and are responsible for sustainable operating models
You coordinate and drive the independent, targeted resolution of highly complex incidents and troubleshooting on the K2View platform in collaboration with internal development teams, external vendors and shared service centers (TSSC), and identify improvement potential to prevent recurrence
You evaluate new technologies and architectures within your scope (e.g. monitoring solutions, K2View applications, AWS) and make well-founded decisions on their adoption
You ensure compliance with defined security policies for the applications, systems and platforms you are responsible for, including access analysis and corrective actions
You coach colleagues and external partners, and shape standards, best practices and operational processes within a DevSecOps environment

What we offer

Flexibility: In coordination with your team and manager, you decide which days you work in the office and from home. You can also work up to 20 days per year from other EU countries as well as from an increasing number of non-EU countries
Attractive compensation and pension plan: As a collective-agreement employee, depending on the remuneration model, you receive holiday and Christmas bonuses or a 13th monthly salary. Our pension plan also provides you with an occupational retirement scheme
Further development: You decide which of our learning and training programs best support your individual development
Work-life balance: Whether childcare, health and mindfulness programs, or fitness studios – you can flexibly shape your professional and private life. We support you, including when caring for relatives
Discounts and additional benefits: As an employee, you receive special offers on all our mobile, fixed-line, internet, and TV products

Cloud DevOps & Data Platform Engineer

We are seeking a highly skilled Cloud DevOps & Data Platform Engineer with stron...

Location

India , Mangalore

Salary:

Not provided

Abotts

Expiration Date

Until further notice

Requirements

Strong experience in DevOps tools and practices (CI/CD, automation, monitoring)
Hands-on experience with Google Cloud Platform (GCP)
Proficiency in Linux system administration
Solid expertise in Power BI (reports, dashboards, DAX, data modeling)
Strong knowledge of PL/SQL and relational DBMS concepts
Experience with Python scripting for automation and data processing
Understanding of cloud security, IAM, and networking concepts
Experience working in Agile / DevOps environments
3+ Year Experience
Availability for night shifts as needed to support global teams

Job Responsibility

Design, implement, and maintain CI/CD pipelines and cloud infrastructure using DevOps best practices
Manage and optimize GCP cloud services, ensuring high availability, scalability, and cost efficiency
Develop, deploy, and monitor applications and services on Linux-based systems
Support and enhance Power BI dashboards, datasets, and data models for business reporting
Write, optimize, and maintain PL/SQL queries, procedures, and database objects
Perform database administration tasks related to DBMS performance, tuning, and reliability
Develop automation scripts and utilities using Python for infrastructure and data workflows
Implement monitoring, logging, and alerting for infrastructure and applications
Ensure security, access control, and compliance across cloud and data platforms
Collaborate with engineering, analytics, and business teams to deliver scalable solutions

Fulltime

Backend Data Engineer — Data Platform

We're looking for an engineer to support hands-on implementation and migration w...

Location

Poland

Salary:

140.00 - 170.00 PLN / Hour

Devire

Expiration Date

Until further notice

Requirements

Strong Java development skills, with experience in data platform or data engineering contexts
Practical experience with at least one JVM-based data processing framework — Flink experience is a plus
Beam, Dataflow, or Spark also relevant
Comfortable with SQL and cloud data analytics platforms, particularly BigQuery
DevOps is part of your day-to-day: you work with cloud infrastructure, containerised applications, and are familiar with Kubernetes basics
Experience working with data engineering pipelines in Scala and/or Python
You write quality code and understand what it means to ship reliably in a production environment
You can work autonomously in an ambiguous environment and move quickly without waiting to be directed

Job Responsibility

Support hands-on implementation and migration work as we evolve our data processing stack
Contribute to company wide migration efforts and platform development
Embedded in a team in Data Infrastructure PA, contributing to hands-on engineering work including large-scale pipeline migrations — validating performance and cost outcomes and helping move workloads to our evolving stack
Contribute to platform development across our Flink platform, Lakehouse architecture and beyond

What we offer

Access to benefits package at attractive prices (medical care, Multisport card, life insurance, cafeteria system)
Long-term cooperation

Fulltime

Senior Engineer - Data Engineer

Position - Data Engineer

Location

India , Indore; Ahmedabad

Salary:

Not provided

Arrow Electronics

Expiration Date

Until further notice

Requirements

Experience: 4 to 8 years in software/data engineering
Proficiency in SQL, NoSQL databases (e.g., DynamoDB, MongoDB), ETL tools, and data warehousing solutions
Proficiency in Python is a must
Cloud Platforms: Azure, AWS (e.g., EC2, S3, RDS) or GCP
Experience with data visualization tools (e.g., Tableau, Power BI, Looker)
Knowledge of data governance and security practices
Experience with DevOps practices, including CI/CD pipelines and containerization (Docker, Kubernetes)
Excellent verbal and written communication skills in English
Experience working in Agile development environments
Understanding of AI and ML concepts, frameworks (e.g., TensorFlow, PyTorch), and practical applications

Job Responsibility

Design and development of real time software and Cloud/Web/mobile based software application
Analyze domain specific technical, high level or low level requirement and modification as per end customer or system requirement
Perform software testing including unit, functional and system level requirement including manual and automated
Perform code review following coding guidelines and static code analysis & troubleshoots software problems of limited difficulty
Document technical deliverable like software specifications, design document, code commenting, test cases and test report, Release note etc. throughout the project life cycle
Develop software solutions from established programming languages or by learning new language required for specific project

Fulltime

Data Engineer (Big Data, Cloud - AWS, Databricks) - Assistant Vice President

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Scala, Spark/Pyspark is must, Hadoop ( BIG Data ), + AWS,Databricks
8 to 11 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
An inclination to mentor
an ability to lead and deliver medium sized components independently

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

Select Country

Devops Data Engineer

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?