DataOps Engineer Job at Hivex

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

Junior Data Infrastructure Engineer

As part of the Data Infrastructure team you will be supporting mission critical ...

Location

United Kingdom , Brighton

Salary:

Not provided

Brandwatch

Expiration Date

Until further notice

Requirements

An interest in how computer infrastructure actually works, and a passion for learning
Interest, and ideally production experience, running storage systems, eg. as part of a selfhosted service, a home lab or as part of academic studies
Experience with Linux systems administration, including experience of trouble shooting
Fluency with one or more scripting languages, ideally Bash or Python
Experience helping your peers
Pride in the quality of your work

Job Responsibility

Supporting mission critical big data platforms, to ensure they are fully performant, reliable, available and secure
Development of tooling and operational support for our platforms
Help with staging support
Join the team supporting the production systems
Take a full part in the life of the team
Start designing the infrastructure we run

Lead Database Engineer

We are looking for a skilled and proactive DataOps Engineer with strong Database...

Location

India , Chennai; Coimbatore; Madurai

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong knowledge of SQL Server architecture and internals
Hands-on experience in performance tuning, query optimization, and indexing strategies
Proficiency in T-SQL scripting and database automation
Proven ability in troubleshooting live database issues and bottlenecks
Hands-on with cloud database services (Azure SQL, AWS RDS)
Excellent communication and cross-functional collaboration skills
Strong analytical and problem-solving abilities
A Bachelor’s degree in Computer Science, Information Technology, or related field

Job Responsibility

Administer and manage SQL Server databases, including AlwaysOn Availability Groups (AAGs) and Failover Cluster Instances (FCIs)
Optimize database performance through advanced query tuning, indexing, and execution plans
Troubleshoot and resolve issues such as blocking, deadlocks, and slow queries
Automate DBA tasks using PowerShell, T-SQL, and modern DataOps practices
Monitor and manage cloud databases (Azure SQL, AWS RDS, etc.)
Collaborate with engineering teams to ensure high availability, scalability, and disaster recovery readiness
Implement database backup, restore, and DR strategies aligned with enterprise needs

What we offer

Opportunity to work on cutting-edge database and DataOps practices
Collaborate with experts across data engineering, AI, and cloud technologies
Access to learning platforms, certifications, and mentoring
Leadership visibility and opportunities to grow within a fast-scaling team
Attractive performance-linked rewards

Fulltime

Graduate Data Engineer

As a Graduate Data Engineer, you will build and maintain scalable data pipelines...

Location

United Kingdom , Marlow

Salary:

Not provided

SRG

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Engineering, Mathematics, or similar, or similar work experience
Up to 2 years of experience building data pipelines at work or through internships
Can write clear and reliable Python/PySpark code
Familiar with popular analytics tools (like pandas, numpy, matplotlib), big data frameworks (like Spark), and cloud services (like Palantir, AWS, Azure, or Google Cloud)
Deep understanding of data models, relational and non-relational databases, and how they are used to organize, store, and retrieve data efficiently for analytics and machine learning
Knowledge about software engineering methods, including DevOps, DataOps, or MLOps is a plus
Master's degree in engineering (such as AI/ML, Data Systems, Computer Science, Mathematics, Biotechnology, Physics), or minimum 2 years of relevant technology experience
Experience with Generative AI (GenAI) and agentic systems will be considered a strong plus
Have a proactive and adaptable mindset: willing to take initiative, learn new skills, and contribute to different aspects of a project as needed to drive solutions from start to finish, even beyond the formal job description
Show a strong ability to thrive in situations of ambiguity, taking initiative to create clarity for yourself and the team, and proactively driving progress even when details are uncertain or evolving

Job Responsibility

Build and maintain data pipelines, leveraging PySpark and/or Typescript within Foundry, to transform raw data into reliable, usable datasets
Assist in preparing and optimizing data pipelines to support machine learning and AI model development, ensuring datasets are clean, well-structured, and readily usable by Data Science teams
Support the integration and management of feature engineering processes and model outputs into Foundry's data ecosystem, helping enable scalable deployment and monitoring of AI/ML solutions
Engaged in gathering and translating stakeholder requirements for key data models and reporting, with a focus on Palantir Foundry workflows and tools
Participate in developing and refining dashboards and reports in Foundry to visualize key metrics and insights
Collaborate with Product, Engineering, and GTM teams to align data architecture and solutions, learning to support scalable, self-serve analytics across the organization
Have some prompt engineering experience with large language models, including writing and evaluating complex multi-step prompts
Continuously develop your understanding of the company's data landscape, including Palantir Foundry's ontology-driven approach and best practices for data management

Data Analytics Engineer

SDG Group is expanding its global Data & Analytics practice and is seeking a mot...

Location

Egypt , Cairo

Salary:

Not provided

SDG

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, Information Systems, or related field
Hands-on experience in DataOps / Data Engineering
Strong knowledge in Databricks OR Snowflake (one of them is mandatory)
Proficiency in Python and SQL
Experience with Azure data ecosystem (ADF, ADLS, Synapse, etc.)
Understanding of CI/CD practices and DevOps for data.
Knowledge of data modeling, orchestration frameworks, and monitoring tools
Strong analytical and troubleshooting skills
Eagerness to learn and grow in a global consulting environment

Job Responsibility

Design, build, and maintain scalable and reliable data pipelines following DataOps best practices
Work with modern cloud data stacks using Databricks (Spark, Delta Lake) or Snowflake (Snow pipe, tasks, streams)
Develop and optimize ETL/ELT workflows using Python, SQL, and orchestration tools
Work with Azure data services (ADF, ADLS, Azure SQL, Azure Functions)
Implement CI/CD practices using Azure DevOps or Git-based workflows
Ensure data quality, consistency, and governance across all delivered data solutions
Monitor and troubleshoot pipelines for performance and operational excellence
Collaborate with international teams, architects, and analytics consultants
Contribute to technical documentation and solution design assets

What we offer

Remote working model aligned with international project needs
Opportunity to work on European and global engagements
Mentorship and growth paths within SDG Group
A dynamic, innovative, and collaborative environment
Access to world-class training and learning platforms

Fulltime

Azure DataOps Lead

The Azure DataOps Lead will be responsible for leading the operational delivery,...

Location

India , Gurgaon

Salary:

Not provided

Rackspace

Expiration Date

Until further notice

Requirements

8–12 years of total IT experience with at least 3–5 years in Azure DataOps or Data Engineering leadership
Hands-on expertise with key Azure Data Services, including: Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, Azure SQL Database / SQL Managed Instance, Azure Data Lake Storage Gen2 (ADLS)
Strong understanding of DataOps concepts
Experience in monitoring and alerting using Log Analytics, Application Insights, and Azure Monitor
Working knowledge of incident management, RCA documentation, and operational reporting
Strong analytical skills for troubleshooting performance issues and identifying optimization opportunities
Excellent communication and stakeholder management skills across global teams

Job Responsibility

Lead and manage the Azure DataOps function, ensuring smooth daily operations, incident resolution, and performance stability across production data platforms
Oversee data pipeline orchestration and automation using Azure Data Factory (ADF), Synapse Analytics, Databricks, and Logic Apps
Implement CI/CD pipelines for data workflows using Azure DevOps or equivalent automation tools
Drive incident, problem, change, and request management processes aligned with ITIL best practices
Coordinate with L1/L2 support teams for escalations, RCA preparation, and client communication
Maintain governance for data quality, access control, and compliance using Azure Purview, Key Vault, and RBAC
Collaborate with Data Architects and Cloud Engineers to design scalable, resilient, and cost-efficient Azure data solutions
Ensure 24/7 operational readiness through proactive alert monitoring, performance tuning, and preventive maintenance
Contribute to automation initiatives using PowerShell, Python, or ARM templates to reduce manual efforts and improve system reliability
Partner with customer stakeholders to report on SLAs, KPIs, RCA summaries, and provide technical recommendations for improvement

Fulltime

Azure DataOps Lead

The Azure DataOps Lead will be responsible for leading the operational delivery,...

Location

India

Salary:

Not provided

Rackspace

Expiration Date

Until further notice

Requirements

8–12 years of total IT experience with at least 3–5 years in Azure DataOps or Data Engineering leadership
Hands-on expertise with key Azure Data Services, including: Azure Data Factory (ADF)
Azure Synapse Analytics
Azure Databricks
Azure SQL Database / SQL Managed Instance
Azure Data Lake Storage Gen2 (ADLS)
Strong understanding of DataOps concepts
Experience in monitoring and alerting using Log Analytics, Application Insights, and Azure Monitor
Working knowledge of incident management, RCA documentation, and operational reporting
Strong analytical skills for troubleshooting performance issues and identifying optimization opportunities

Job Responsibility

Lead and manage the Azure DataOps function, ensuring smooth daily operations, incident resolution, and performance stability across production data platforms
Oversee data pipeline orchestration and automation using Azure Data Factory (ADF), Synapse Analytics, Databricks, and Logic Apps
Implement CI/CD pipelines for data workflows using Azure DevOps or equivalent automation tools
Drive incident, problem, change, and request management processes aligned with ITIL best practices
Coordinate with L1/L2 support teams for escalations, RCA preparation, and client communication
Maintain governance for data quality, access control, and compliance using Azure Purview, Key Vault, and RBAC
Collaborate with Data Architects and Cloud Engineers to design scalable, resilient, and cost-efficient Azure data solutions
Ensure 24/7 operational readiness through proactive alert monitoring, performance tuning, and preventive maintenance
Contribute to automation initiatives using PowerShell, Python, or ARM templates to reduce manual efforts and improve system reliability
Partner with customer stakeholders to report on SLAs, KPIs, RCA summaries, and provide technical recommendations for improvement

Sales Engineer

As a Sales Engineer at Astronomer, you’ll be a key partner to our clients, guidi...

Location

United States , San Francisco

Salary:

200000.00 - 250000.00 USD / Year

Astronomer

Expiration Date

Until further notice

Requirements

Data Engineering Know-How: Familiarity with core data engineering concepts including orchestration, ELT, Git, and Role-Based Access Control (RBAC), with hands-on experience or working knowledge of Apache Airflow in a customer environment
Experience and Expertise: 2+ years in a Sales Engineering, Solutions Engineering, Consulting or similar role within the data space, ideally with experience in modern data tools like Snowflake, Databricks, Fivetran, or Tableau
Effective Communication: Strong verbal and written communication skills to simplify complex technical concepts for diverse audiences
Curiosity and Customer Empathy: A genuine desire to understand customer needs, patience, and empathy to support them through challenges
Drive to Innovate: Eagerness to learn and experiment with new technical concepts, tools, and approaches to stay ahead in the data industry

Job Responsibility

Solve Real-World Problems: Design and implement proof-of-concept solutions that help customers tackle real data challenges, from concept to production
Be a Trusted Advisor: Conduct demos and provide technical guidance to engineering teams, showing them how our platform can transform their workflows
Drive Community Impact: Contribute to the Apache Airflow community by creating technical content and best practices, positioning Astronomer as a thought leader in workflow orchestration
Influence Product Direction: Act as a liaison by gathering field insights and providing critical feedback to the Product team to shape the future of our platform
Develop and Grow: Become an expert in Airflow, workflow orchestration, and the data engineering landscape as you collaborate across departments and work on impactful projects

What we offer

equity component

Fulltime

DataOps Engineer

Hivex

Location:

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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