Data Operations Engineer Job at Linux Recruit (Barcelona)

Data Operations Engineer

BA Markets wants to professionalise and streamline its activities with regards t...

Location

Poland , Katowice

Salary:

Not provided

Vattenfall

Expiration Date

Until further notice

Requirements

Interest in understanding what the user needs with several years of hands-on experience as software developer with an interest in the responsibilities of a data engineer or vice versa
A proactive, communicative team player
Fluent in English
Deep understanding of Kafka architecture (brokers, topics, partitions, replication), and experience with Kafka Streams, Kafka Connect, and schema registry (e.g., Confluent)
Proficiency in designing and managing Kafka clusters (including monitoring and scaling)
Hands-on Experience building and maintaining real-time ETL pipelines
Familiarity with stream processing frameworks like: Apache Flink or Apache Spark Streaming
Strong skills in: Python and Java and at least basic Scala and at least solid SQL experience
Has build several CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions)
And used infrastructure as Code (IaC) tools like Terraform or Ansible

Job Responsibility

Stream deployment and stream architecture, developments and deployments
Automate workflows and orchestrate data pipelines
Implement CI/CD routines
Implement and monitor “system health” with observability tools and data quality checks
Support the development of Client Libraries so other applications can integrate streams in own application and services
Perform Python development
Perform “glue code” development that 95% of use cases can apply

What we offer

Good remuneration
Challenging and international work environment
Possibility to work with some of the best in the field
Working in interdisciplinary teams
Support from committed colleagues
Attractive employment conditions
Opportunities for personal and professional development

Fulltime

Data Operations Engineer

We're seeking an early-career data professional who can support development and ...

Location

United States

Salary:

65000.00 - 90000.00 USD / Year

Personify Health

Expiration Date

Until further notice

Requirements

2-3 years experience in data engineering, analytics engineering, or related technical role
AWS Certification (or willingness to obtain within 6-12 months), such as AWS Cloud Practitioner or AWS Developer – Associate
Experience handling support tickets or operational data issues strongly preferred (~50% of role)
Proficiency in Python (required) and SQL, including writing queries, joins, basic transformations, and troubleshooting
Hands-on experience with relational databases (PostgreSQL, Oracle, AWS RDS) and familiarity with basic data warehouse concepts
Understanding of ETL/ELT pipelines, data validation, and data quality monitoring
Basic knowledge of Linux command line for navigating servers and running scripts
Some exposure to cloud environments (AWS, Azure) preferred but not required
Familiarity with JIRA and Git/Bitbucket for version control and task management
Effective written and verbal communication skills with ability to document findings and processes

Job Responsibility

Support data pipelines: Assist in maintaining and troubleshooting ETL/ELT data pipelines used for healthcare and TPA claims processing across on-prem and cloud environments
Handle operational support: Manage support tickets (~50% of time), responding to user requests, researching data questions, and helping resolve operational data problems efficiently
Work with core technologies: Use Python and SQL to support data extraction, transformation, validation, and loading while monitoring pipeline performance and resolving data issues
Monitor and troubleshoot: Review logs, investigate failed jobs, and correct data discrepancies while supporting daily process monitoring including production processes and application performance
Maintain data quality: Execute routine data quality checks, maintain documentation, and follow up on accuracy concerns to ensure reliable data across systems
Support database operations: Work with data management tasks in systems such as PostgreSQL, Oracle, and cloud-based databases while learning healthcare data formats
Collaborate cross-functionally: Partner with Data Analysts, Developers, and business users to understand data needs and support ongoing reporting and data operations
Continue learning: Participate in team meetings, sprint activities, and knowledge-sharing sessions while working with senior team members to develop data engineering skills

What we offer

Comprehensive medical and dental coverage through our own health solutions
Mental health support and wellness programs designed by experts who get it
Flexible work arrangements that fit your life
Retirement planning support to help you build real wealth for the future
Basic Life and AD&D Insurance plus Short-Term and Long-Term Disability protection
Employee savings programs and voluntary benefits like Critical Illness and Hospital Indemnity coverage
Professional development opportunities and clear career progression paths
Mentorship from industry leaders who want to see you succeed
Learning budget to invest in skills that matter to your future
Unlimited PTO policy

Fulltime

Senior Operations Data Engineer

We are currently looking for an experienced Senior Operations Data Engineer to j...

Location

United States , Indianapolis

Salary:

Not provided

Indiana Farmers Insurance

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Finance, or related field
6–10+ years of experience in data engineering, analytics, or advanced data roles
Minimum of 5 years of experience in Property & Casualty Insurance
Advanced SQL and strong experience with data modeling and large datasets
Experience building data pipelines using ETL/ELT methodologies
Proficiency in Power BI or similar data visualization tools
Experience with data warehousing platforms (e.g., Azure Synapse, Snowflake, SQL Server)
Working knowledge of Python or similar scripting languages
Strong ability to connect data solutions to business outcomes
Strong interpersonal communication skills to engage cross-functional stakeholders, translate business needs into technical solutions, and communicate insights clearly to both technical and non-technical audiences

Job Responsibility

Designing, building, and optimizing data pipelines and models that support critical financial and operational reporting
Working closely with stakeholders across Finance, Operations, and IT to translate complex business questions into structured data solutions
Improving existing data architecture, standardizing key metrics, and enhancing the performance and usability of data across platforms
Shaping data practices, influencing decision-making through analytics, and advancing the organization’s overall data capabilities

What we offer

Free Health insurance
Free Dental insurance
Free Vision insurance
Free Life insurance
Free Short-Term & Long-Term Disability insurance
2% 401k Company Match
11% 401k Company Contribution
Excellent Paid Time Off
Generous paid time for Parental Leave
Day of Service

Fulltime

Senior Data Operations Engineer

The Senior Data Operations Engineer owns and evolves the technical infrastructur...

Location

United States , Concord

Salary:

135000.00 - 155000.00 USD / Year

Tripleseat

Expiration Date

Until further notice

Requirements

5+ years in data engineering, analytics engineering, or similar data-focused technical roles
Strong experience with relational databases, especially MySQL, including schema design and SQL proficiency
Experience building and maintaining ETL/ELT pipelines connecting application databases to cloud data warehouses
Hands-on experience with Snowflake—warehouse configuration, performance tuning, cost optimization
Proficiency with dbt for data transformation and modeling
Experience with pipeline orchestration tools, preferably Dagster
Comfortable working with Git for version control and collaborative development
Experience working in AWS cloud environments
Experience leveraging AI-assisted development and analysis tools (e.g., GitHub Copilot, Cursor, Claude) to accelerate workflows and improve productivity
Strong communicator who can partner effectively with engineering, product, and analytics teams

Job Responsibility

Build, operate, and maintain reliable ETL/ELT pipelines moving data from MySQL and other source systems into Snowflake using Dagster, Stitch, and dbt Core
Create data pipelines that read from external APIs and write to Snowflake, integrating data from business systems across the organization (Salesforce, etc.)
Optimize the dbt project build to enhance build times and reduce warehouse costs
Automate ingestion, transformation, validation, and monitoring processes to increase reliability
Ensure pipelines meet SLAs for data availability, latency, and accuracy
Design and build data models in Snowflake that support analytics, reporting, and business intelligence needs
Partner with Developers and Product teams to build data products that drive business value
Contribute to data platform roadmap and technical strategy
Scale and optimize data platforms as data volumes, concurrency, and business demand grow
Identify and resolve performance bottlenecks: query optimization, indexing, warehouse sizing, and workload management

What we offer

Competitive Medical, Dental, and Vision Insurance
Company Paid Life Insurance, Short- and Long-Term Disability Plans
401(k) with Company Match
Parental Leave
Flexible Paid Time Off
Pet Insurance

Fulltime

Data Reliability / Operations Engineer

We are looking for a Data Reliability/Operations Engineer who will contribute si...

Location

USA , Indianapolis

Salary:

65000.00 - 66000.00 USD / Year

Beacon Hill

Expiration Date

Until further notice

Requirements

Must have a degree in Computer Science, Engineering, Data Science, or related field
Must have 4+ years’ experience in data and AI operations or related field
Experience working in a data reliability engineering role is required
Must be proficient in AWS (or Azure/GCP), Snowflake, RDS, SQL, Python, Terraform, Airflow/Dagster, Data pipelines, and data monitoring tools
Experience with ML Ops is higher desired or some type of AI experience
Experience with building data pipelines, data stores, and working with data analytics is required
Must be able to implement comprehensive monitoring and alerting for data pipelines that support operations and analytics
Must be able to design and deploy automated data quality checks that ensure accuracy of data
Must be able to respond to and resolve data incidents, conducting root cause analysis and implementing preventive measures
Collaborate with data engineers to improve pipeline reliability, performance, and operational efficiency

Job Responsibility

Independently managing data quality monitoring and incident response and troubleshooting
Maintaining data quality and insights that drive business forward
Mentoring junior team members
Contributing to the mission of delivering outstanding value through data-driven insights and innovative solutions

Fulltime

MS Engineer - Data Center Operations

As a Cross Technology Managed Services Engineer (L2) at NTT DATA, you will play ...

Location

India , Mumbai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Moderate-level experience in managed services roles handling cross-technology infrastructure
Knowledge of ticketing tools, preferably ServiceNow
Familiarity with ITIL processes and experience working with vendors and third parties
Proficiency in planning activities and projects, taking changing circumstances into account
Ability to work longer hours when necessary and adapt to changing circumstances with ease
Proven ability to communicate effectively and work across different cultures and social groups
Positive outlook and ability to work well under pressure
Commitment to placing clients at the forefront of all interactions, understanding their requirements, and ensuring a positive experience
Bachelor's degree in IT/Computing or equivalent work experience

Job Responsibility

Managing work queues, addressing incidents and requests within agreed SLAs, and updating tickets with the actions taken
Identifying, analysing, and logging issues before they escalate
Collaborating closely with other teams and clients to provide second-level support
Executing changes meticulously, understanding and mitigating risks, and contributing to the change management process with detailed documentation
Auditing incident and request tickets for quality, recommending improvements, and identifying tasks for automation
Handling client escalations with professionalism
Assisting in disaster recovery functions and tests when necessary
Driving the optimization of efforts by working with automation teams and supporting L1 Engineers
Contributing to various projects, ensuring that all changes are approved
Maintaining a positive outlook even in high-pressure situations

Fulltime

Data Center Operations Engineer

We’re looking for a proactive and independent Data Center Operations Engineer to...

Location

India , Bengaluru

Salary:

Not provided

Adyen

Expiration Date

Until further notice

Requirements

Comfortable with frequent travel within the India region
Experienced in data center operations, including server deployment, maintenance, and asset/security management
Strong understanding of infrastructure and data center best practices
Self-driven and able to prioritize effectively across multiple tasks
Detail-oriented, with strong ownership and follow-through
Clear and confident communicator across teams, vendors, and regions

Job Responsibility

Perform preventative maintenance across our server fleet to ensure reliability and extend hardware lifespan
Travel to our India data centers to deploy new servers and pre-built racks, ensuring proper installation and integration
Work closely with the Data Center, Networking, and Provisioning teams (primarily based in Amsterdam) to support smooth deployments and operations
Partner with the Supply Chain Manager to maintain appropriate stock levels of critical spare parts across India sites
Coordinate with third-party remote hands for break-fix support and onsite activities between scheduled visits
Troubleshoot hardware and infrastructure issues efficiently to minimize downtime
Maintain accurate records of maintenance, decommissions, and secure handling of components
Independently manage your schedule and workload to keep operations on track
Own third-party hardware installation projects within our environment
Act as the on-call first responder for data center incidents in the India region

Senior Data Center Operations Engineer

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serv...

Location

United States , Vernon

Salary:

128000.00 - 170000.00 USD / Year

Lambda

Expiration Date

Until further notice

Requirements

Strong experience with critical infrastructure systems supporting data centers (power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, cable management)
Familiar with carrier DIA circuit test and turn ups, understanding LOA’s, and fiber testing and troubleshooting
Solid understanding of cable, fiber, and optics and their different use cases
Solid understanding of single and three phase power theories including PDU balancing
Base level network fundamentals (CCNA preferred but not required)
Knowledge of cold aisle and hot aisle containment
Solid understanding of server hardware and boot process (PXE, DHCP, & TFTP)
Work with product management, support, and other teams to align operational capabilities with company goals
Translating business priorities into technical and operational requirements
Supporting cross-functional projects where infrastructure plays a critical role

Job Responsibility

Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured
Troubleshoot hardware and software issues in some of the world’s most advanced GPU and Networking systems
Document and update data center layout and network topology in DCIM software
Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments
Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers
Partner with HW Support teams to ensure data center hardware incidents with higher level troubleshooting challenges are resolved, reported on and solutions are disseminated to the large operations organization
Work with the RMA team to ensure faulty parts are returned and replacements are ordered
Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers
Improve installation standards, MOPs, and runbooks
Act as a technical escalation point for DC infrastructure issues

What we offer

Generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan

Fulltime

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Data Operations Engineer

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