senior database engineer

Equinix

<div><div><div><h3 class="jobSectionHeader">Senior Staff Database Engineer</h3>
 <div></div><div><div><ul><li>JR-161621
</li> <div></div><li>Hybrid
</li> </ul></div><div></div><div><ul><li>Bengaluru
</li> </ul></div><div></div><div><ul><li>Technology
</li> </ul></div><div></div><div><ul><li>Full time</li></ul></div></div><div></div><div><div> 
</div>
</div><div>Who are we?<div>

Equinix is the world&rsquo;s digital infrastructure company&reg;, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. 

A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.
</div>
Help us challenge assumptions, uncover bias, and remove barriers&mdash;because progress starts with fresh ideas. You&rsquo;ll find belonging, purpose, and a team that welcomes you&mdash;because when you feel valued, you&rsquo;re empowered to do your best work.<div><div><div>

Job Summary

We are seeking a highly experienced Senior Engineer with 12+ years of industry experience and strong expertise in database engineering. The ideal candidate will possess deep knowledge in evaluating, provisioning, configuring, performance tuning, scalability, high availability, monitoring, and overall management of database services across both cloud and on-premises environments.

Hands-on experience with Aurora PostgreSQL, AWS RDS PostgreSQL, Microsoft SQL Server (MSSQL), and Oracle database systems is essential.

In addition to core database responsibilities, this role requires the ability to design and develop AI-driven agents and automation solutions to optimize and streamline database operations and management.

Responsibilities

Cloud Database Platforms
<ul>
<li>Evaluate and recommend AWS database services, including Amazon RDS (Oracle, SQL Server, PostgreSQL) and Amazon Aurora PostgreSQL</li>
<li>
Design, implement, and optimize cloud-native database architectures on AWS including query optimization and performance tuning, indexing strategies etc.</li>
<li>
Lead and support database migrations from on-premises environments to AWS ODB, Amazon RDS, and Aurora PostgreSQL platforms</li>
<li>
Implement and manage observability, monitoring, and performance analytics across hybrid and cloud environments</li>
</ul>
Database Automation &amp; Platform Engineering
<ul>
<li>Develop and maintain Infrastructure-as-Code (IaC) solutions using Terraform, Ansible, and scripting to automate database provisioning, patching, upgrades, backups, and operational workflows</li>
<li>
Build and enhance self-service database platform capabilities to improve developer productivity and operational efficiency</li>
<li>
Design automated health checks, capacity forecasting models, compliance validation, and remediation workflows</li>
<li>
Drive standardization and automation across PostgreSQL, SQL Server, and cloud database platforms</li>
</ul>
AI-Driven Database Operations
<ul>
<li>Identify and implement AI-driven solutions to streamline DBA workflows and reduce manual effort</li>
<li>
Evaluate emerging AI technologies and recommend adoption opportunities within database and platform engineering teams</li>
</ul>
Backup and Recovery
<ul><li>
Design and implement robust backup, restore, and disaster recovery strategies to ensure data integrity and business continuity</li></ul>

High Availability and Scalability
<ul><li>
Architect and manage high-availability solutions, including QL Server Availability Groups, Aurora Global Database, Real Application Clusters (RAC), and Exadata-specific features</li></ul>

Security Management
<ul><li>
Develop and enforce comprehensive database security policies covering access control, encryption, and auditing</li></ul>

Troubleshooting and Support
<ul><li>
Provide expert-level troubleshooting for complex database issues, including performance bottlenecks, data corruption, and critical system failures</li></ul>

Capacity Planning and Growth
<ul><li>
Analyze current and future database capacity requirements and proactively plan for scalability to support business growth</li></ul>

Ownership and Collaboration
<ul>
<li>Take end to end execution ownership of the defined strategy partnering with platform and applications engineering teams</li>
<li>
Responsible for measuring and reporting improvement in operational efficiency</li>
<li>
Collaborate closely with global, cross functional teams including application development, infrastructure, PO/PMs, and IT teams to support and optimize database-driven applications and services</li>
</ul>
Qualifications
<ul>
<li>12+ years of experience in design and development of highly distributed software platforms/systems</li>
<li>
Bachelor/Master Degree in Computer Science or other equivalent field</li>
<li>
Hands-on experience with Aurora PostgreSQL, AWS RDS PostgreSQL, Microsoft SQL Server (MSSQL), and Oracle database systems is essential</li>
<li>
Experience administering Amazon Aurora PostgreSQL and Amazon RDS database platforms</li>
<li>
Experience with large-scale cloud database migration, modernization and transformation projects involving AWS ODB and RDS services</li>
<li>
Good understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and their application to infrastructure and database operations</li>
<li>
10+ years of Proven track record in performance tuning, backup and recovery, and high-availability solutions</li>
<li>
10+ years of Proficiency in SQL and PL/SQL, with advanced troubleshooting skills</li>
<li>
5+ years of experience in scripting languages (e.g., Python, Shell) for agentic development and automation tasks</li>
<li>
5+ Years of Strong familiarity with SOX compliance, AWS with Capacity planning</li>
<li>
Good analytical and problem-solving abilities</li>
<li>
Strong communication and interpersonal skills, with the ability to work collaboratively with diverse teams</li>
</ul>
</div></div></div>Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing form.
Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.
We use artificial intelligence in our hiring process. Learn more here.
This posting is for a backfill position, meaning it is to fill an existing vacancy within our organization.</div></div></div></div>

Senior Staff Database Engineer

APLOMB Technologies

Job Summary We are seeking a highly skilled and motivated Senior Data Engineer to lead the design, development, and maintenance of our enterprise data infrastructure. In this dynamic role, you will harness the power of big data technologies and cloud platforms to enable insightful analytics and data-driven decision-making. Your expertise will drive the creation of scalable data pipelines, optimize data storage solutions, and support advanced analytics initiatives. Join us to empower our organization with innovative data solutions that fuel growth and strategic insights.Responsibilities<ul><li>Design, develop, and optimize robust ETL (Extract, Transform, Load) processes to integrate data from diverse sources such as AWS, Azure Data Lake, Hadoop, and on-premises systems. </li><li>Build scalable data pipelines utilizing Apache Spark, Hadoop ecosystem components (e.g., Hive), and Python scripting to process large volumes of structured and unstructured data efficiently. </li><li>Develop and maintain data warehouses leveraging SQL Server, Oracle, and other relational databases; ensure high performance and security standards. </li><li>Collaborate with cross-functional teams to implement data models, database designs, and linked data architectures that support analytics and reporting needs. </li><li>Utilize tools like Talend, Informatica, and Shell Scripting to automate workflows and streamline data processing tasks. </li><li>Integrate RESTful APIs for seamless data exchange between systems; support model training activities for machine learning initiatives. </li><li>Work within Agile methodologies to deliver continuous improvements in data infrastructure while maintaining documentation for compliance and knowledge sharing.</li></ul>Requirements<ul><li>Proven experience as a Data Engineer or similar role with a focus on big data technologies such as Hadoop, Spark, Hive, and Azure Data Lake. </li><li>Strong proficiency in SQL (including Microsoft SQL Server and Oracle), Python, Java, Bash (Unix shell), Shell Scripting, and VBA for automation and analysis tasks. </li><li>Hands-on experience designing scalable data warehouses and implementing ETL pipelines using tools like Talend or Informatica. </li><li>Familiarity with cloud platforms such as AWS and Azure for deploying large-scale data solutions. </li><li>Knowledge of database design principles, linked data concepts, RESTful API integration, and model training techniques for machine learning applications. </li><li>Excellent analysis skills with the ability to interpret complex datasets; experience with Looker or similar BI tools is a plus. </li><li>Strong understanding of Agile development practices to facilitate iterative project delivery in fast-paced environments. Join us as a Senior Data Engineer to shape the future of our organization&rsquo;s data landscape! Bring your passion for innovation, technical expertise in big data ecosystems, cloud platforms, and analytics to help us unlock valuable insights that drive strategic success. We&rsquo;re committed to fostering an inclusive environment where your skills can thrive&mdash;empowering you every step of the way!</li></ul>Pay: $50.00 - $55.00 per hourWork Location: In person

Senior Data Engineer

C-4 Analytics

<div><h1 class="jobSectionHeader">Senior Data Engineer</h1> 
Stack: JavaScript (Node/Lambdas), Python, SQL, Snowflake, Cursor
If you are unable to complete this application due to a disability, contact this employer to ask for accommodation or an alternative application process.<h2 class="jobSectionHeader">
The Mission</h2>
We&rsquo;re looking for a Senior Data Engineer to serve as the foundational architect of our AI infrastructure. In this role, you will be a key pillar of the AI team, responsible for transforming raw, disparate data into scalable organizational intelligence. You aren&rsquo;t just building pipelines; you are designing the enterprise-grade framework that powers C-4 Analytics' digital marketing platforms, ensuring our data architecture is as innovative as the solutions it supports.<h2 class="jobSectionHeader">
The Role</h2>
As a Senior Data Engineer, you are expected to be a master of data orchestration. You are a self-starter who navigates the complexities of Snowflake, AI pipelines, and unstructured data environments with precision. You understand that your job is to connect the dots between raw sources and production-ready solutions, implementing best practices in sharding, indexing, and normalization to optimize retrieval at scale. You&rsquo;ll work across cross-functional teams to align data architecture with business objectives, ensuring every system you design is elegant, documented, and mission-critical.<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul><li>
Data Architecture &amp; Strategy: Lead by example in designing and maintaining high-performance data systems. You aren&rsquo;t just moving data; you are implementing best practices in sharding, replication, and indexing to ensure our database architecture is scalable, cost-effective, and optimized for complex access patterns.</li><li>
Enterprise Orchestration: Build and manage production-ready AI pipelines that turn disparate, unstructured data into clean, normalized organizational intelligence. You bridge the gap between batch and streaming processes, connecting various sources to Snowflake with precision and reliability.</li><li>
AI-Driven Innovation: Core Requirement. You are a pioneer in the AI space, fully proficient in using AI development assistants to accelerate the transition from cutting-edge proof-of-concepts to robust, production-ready solutions. You leverage these tools to refactor data flows and maintain an elite standard of quality.</li><li>
Enablement &amp; Collaboration: Craft intuitive tools and frameworks that empower our data scientists and analysts to do their best work. You act as a strategic partner to cross-functional teams, ensuring our data storage and retrieval systems are perfectly aligned with broader business objectives.</li><li>
Documentation &amp; Leadership: Act as the visionary for our information architecture. You design elegant, scalable solutions and document them with such clarity that others can easily follow your lead. You provide the technical guidance and architectural &quot;blueprints&quot; necessary for the team to grow and succeed.</li></ul><h2 class="jobSectionHeader">
Who You Are</h2><ul><li>
The Strategic Architect: You are fluent in Python and SQL, possessing the rare ability to express complex logic with elegant simplicity. You aren't just a coder; you are a Database Strategist who knows exactly when to deploy relational, vector, graph, or document data models, backed by a deep understanding of sharding, replication, and indexing.</li><li>
Cloud &amp; Data Expert: You are a confident Cloud Navigator within the AWS ecosystem and a master of Snowflake. With over 5 years of professional experience in AI and machine learning, you have a proven track record of integrating LLMs and NLP tasks with enterprise data platforms. You understand the nuances of building for scale and the importance of high-fidelity data wrangling.</li><li>
Infrastructure Poet: You treat infrastructure as clear, reproducible code. You are an advocate for information architecture best practices, data modeling, and rigorous data governance. You are proficient in the modern SDLC for AI projects, ensuring that every pipeline you design is robust, secure, and production-ready.</li><li>
Dynamic Collaborator &amp; Question Seeker: You understand that engineering is a team sport. You are an empathetic communicator who can work independently with minimal supervision while fostering teamwork across departments. You are the person who finds the right questions that others haven't thought to ask, identifying and resolving problems with a sense of urgency and resourcefulness.</li></ul><h2 class="jobSectionHeader">
Our Tech Stack</h2><div></div><div><div><div><div>
Layer<div> 
Technology</div></div><div> 
Backend 
Node.js, AWS Lambdas (Serverless), Python, AWS Fargate</div></div><div><div> 
Frontend 
Angular (Latest), TypeScript</div><div> 
Database 
MongoDB (Atlas), Snowflake</div><div> 
AI Tools 
Cursor</div></div></div></div> 
<h2 class="jobSectionHeader">
Compensation</h2>
We offer a competitive compensation commensurate with experience and qualifications. The salary range for this position is $130,000 - $160,000. The final salary will be determined based on factors such as skills, knowledge, and demonstrated expertise.
Please note that the stated salary range is flexible and negotiable based on individual qualifications and fit for the role. We encourage candidates to discuss their salary expectations during the interview process.<h2 class="jobSectionHeader">
Flexibility</h2>
The Senior Data Engineer may benefit from the flexibility to work in a way that suits them best. We offer the following working options:<ul><li>
Office-Based: Our modern and well-equipped office space provides a collaborative environment where you can work closely with your team, engage in face-to-face interactions, and foster a sense of community.</li></ul><h1 class="jobSectionHeader">
Hybrid: For those who prefer a balance between office and remote work, we offer a hybrid model. This allows you to divide your time between working in the office and remotely, providing the best of both worlds.</h1>
YcAmEchrp1</div>

Senior Data Engineer (HYBRID)

<div>Role description 
Job Title: Senior Snowflake Engineer

Location: [London/ UK &ndash; Hybrid, 3 days work from client office]

Employment Type: [Permanent/FTC / Contract inside IR35]

 Immediate Candidates preferred

Applicants must be legally authorized to work in the United Kingdom without the need for current or future visa sponsorship 

Job Summary:
We are seeking a skilled Senior Snowflake Engineer to join our client's Platform Engineering 
team. As the Senior Snowflake Engineer, you will lead the architecture, design, and implementation of Snowflake for various domain teams in a multi-tenant environment. You will ensure that the platform meets the needs of multiple teams while maintaining high levels of performance, reliability, and security. 
 
Responsibilities: 
 
As a Senior Snowflake Engineer, you will:
<ul>
<li>Play a key role in modernizing an enterprise data function following a decentralized approach 
breaking silos.</li>
<li>Work closely with domain teams to understand their needs and translate them into technology solutions.</li>
<li>Provide expertise as a technical resource to solve complex business issues that translate into 
data integration and database systems designs.</li>
<li>Problem-solve to resolve issues and remove barriers throughout the lifecycle of domain team 
engagements.</li>
<li>Ensure all deliverables are of high quality by setting development standards, adhering to the 
standards, and participating in code reviews.</li>
<li>Participate in integrated validation and analysis sessions of components and subsystems on 
production servers.</li>
<li>Mentor, support, and manage team members.</li>
<li>Create runtime tools/processes that optimize cloud triaging and limit downtime.</li>
<li>Define best practices around making our systems and services measurable.</li>
<li>Participate in on-call rotation and ensure uptime of services.</li>
<li>Introduce tools to facilitate greater automation and operability of services.</li> 
</ul>
Our Ideal Senior Snowflake Engineer will have:
<div>
<ul><li>Experience in the implementation, execution, and maintenance of Data Integration technology solutions.</li></ul>
<ul><li>Experience advancing and supporting information management practices within business 
processes, applications, and technology that underpin the data discipline (e.g. establishing data quality processes, performing data analysis, participating in technology implementation 
planning, implementing data integration processes, etc.).</li></ul>
<ul><li>Expertise in Snowflake data modeling, ELT using snowpipe, implementing stored procedures, 
and standard DWH and ETL concepts.</li></ul>
<ul><li>Expertise in Snowflake concepts like setting up resource monitors, RBAC controls, virtual 
warehouse, query performance tuning, Zero copy clone, time travel, and understanding how to use these features.</li></ul>
<ul><li>Experience in Data Migration from RDBMS to Snowflake cloud data warehouse.</li></ul>
<ul><li>Experience with enterprise cloud economics.</li></ul>
<ul><li>Experience in enterprise data management concepts (Data Governance, Data Engineering, DataScience, Data Sharing, Data Applications).</li></ul>
<ul><li>Hands-on expertise with SQL and SQL analytics.</li></ul>
<ul><li>Industry benchmarking experience in major industries such as Financial Services and Retail.</li></ul>
<ul><li>Experience with DevOps tools like Azure DevOps (ADO), GitHub, and Octopus Deploy.</li></ul>
<ul><li>Experience building solution using DBT, Python and Snowpark.</li></ul>
<ul><li>Good knowledge of distributed systems, APIs, cloud computing patterns.</li></ul>
<ul><li>Ability to debug, troubleshoot, and resolve complex technical issues.</li></ul>
<ul><li>Self-driven and motivated, with a strong work ethic and a passion for problem-solving.</li></ul>
</div>
If you are interested, please apply for an immediate discussion with Talent team 

#UST 
Skills 
snowflake,snowpipe,rbac,elt, 
About UST 
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div>

Senior Snowflake Engineer (Lead I - Data Engineering)

Grafana Labs

<div><div>Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers &ndash; including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce &ndash; trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we&rsquo;re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X.

We&rsquo;re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that&rsquo;s okay. If this role excites you, we&rsquo;d love you to raise your hand for what could be a truly career-defining opportunity.</div><div>
This is a remote opportunity and we would be interested in applicants living in German time zones only at this time.
<h2 class="jobSectionHeader">
Senior Software Engineer - Grafana Databases, Managed Services</h2>
<h4 class="jobSectionHeader">The Opportunity:</h4>

The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud&rsquo;s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale.

In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply.

What You&rsquo;ll Be Doing:

As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves:
<ul>
<li>Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure</li>
<li>Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.)</li>
<li>Designing safe upgrade and rollout strategies at scale</li>
<li>Improving observability, automation, and operational ergonomics</li>
<li>Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance</li>
<li>Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc.</li>
<li>Serving as a primary escalation point and on-call for relevant incidents</li>
<li>Owning the relationship with all system vendors, including WarpStream Labs and others.</li>
<li>As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.</li>
</ul>
This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups&mdash;always paired with strong code review and quality standards. You&rsquo;ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

What Makes You a Great Fit:
<ul>
<li>Regular 1:1s with your manager and close collaboration with teammates across regions</li>
<li>Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design</li>
<li>Improving the diagnosability of core streaming and database systems in production, where possible.</li>
<li>Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure</li>
<li>Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies</li>
<li>Planning and executing safe upgrades and rollouts across dozens of production clusters</li>
<li>Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy</li>
<li>Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk</li>
<li>Sharing best practices and distributed systems knowledge with partner teams</li>
<li>Participating in incident response, from investigation through resolution and post-incident reviews (PIR)</li>
</ul>
Requirements:
<ul>
<li>6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles.</li>
<li>Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra.</li>
<li>Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).</li>
<li>Solid understanding of distributed systems design and large-scale system trade-offs.</li>
<li>Proficiency in at least one programming language (Go preferred, but not required).</li>
<li>Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior.</li>
<li>Experience participating in blameless incident response and writing high-quality post-incident reviews.</li>
<li>Clear communicator who can collaborate across teams and work autonomously.</li>
<li>Curious, pragmatic, action-oriented, and kind (this is important!)</li> 
</ul>
Compensation &amp; Rewards:

In Germany, the Base compensation range for this role is EUR 97,034 - EUR 116,44. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes&mdash;RSUs help us stay aligned and invested as we scale globally.</div><div><div>
<ul><li>Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market&rsquo;s defined pay range &amp; benefits at the beginning of the process.</li></ul>

Why You&rsquo;ll Thrive at Grafana Labs:
<ul>
<li>100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.</li>
<li>Scaling Organization &ndash; Tackle meaningful work in a high-growth, ever-evolving environment.</li>
<li>Transparent Communication &ndash; Expect open decision-making and regular company-wide updates.</li>
<li>Innovation-Driven &ndash; Autonomy and support to ship great work and try new things.</li>
<li>Open Source Roots &ndash; Built on community-driven values that shape how we work.</li>
<li>Empowered Teams &ndash; High trust, low ego culture that values outcomes over optics.</li>
<li>Career Growth Pathways &ndash; Defined opportunities to grow and develop your career.</li>
<li>Approachable Leadership &ndash; Transparent execs who are involved, visible, and human.</li>
<li>Passionate People &ndash; Join a team of smart, supportive folks who care deeply about what they do.</li>
<li>In-Person onboarding - We want you to thrive from day 1 with your fellow new &lsquo;Grafanistas&rsquo; to learn all about what we do and how we do it.</li>
<li>Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.</li>
</ul>
Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

#LI-Remote
</div>
<div>For information about how your personal data is used once you&rsquo;ve applied to a job, check out our privacy policy.</div></div></div><div></div>

Senior Software Engineer - Grafana Databases, Managed Services | Germany | Remote

Parser

<div>
 
 
 Senior Data Engineer
 
 
 
 
 
 
 
 Who is Parser?
 
 
 
 Technology alone does not create impact&mdash;the right teams do. Founded in 2018, Parser is a boutique technology services and consulting firm helping global organizations solve complex business challenges through digital transformation, product development and AI enablement.
 
 
 
 
 
 We are a fast-growing team of 340+ engineers and consultants across Europe (UK, Spain, Portugal), the Americas (US, Argentina, Uruguay, Colombia), and the Middle East. We combine global reach with a mindset focused on agility, senior expertise, and close collaboration.
 
 
 We work as an extension of our clients&rsquo; teams, helping them define the right problems, shape solutions, and deliver technology-driven outcomes that create measurable business value.
 
 
 
 
 
 Our expertise spans software engineering, AI &amp; data, product development, and customer experience, delivered by teams that combine strong technical depth with a consulting mindset.
 
 
 
 
 
 
 Why Join Us?
 
 
 
 If you are looking for a place where you can think beyond execution, take true ownership of outcomes, influence decisions, and continuously learn alongside top-tier specialists in a truly global environment, we&rsquo;d love to meet you.
 
 
 
 
 
 
 How You'll Make an Impact?
 
 
 
 As a Senior Data Engineer you will be participating in the design and build of the next generation of AI-driven data products and intelligence platforms. As a Python-strong, AI-aware Data Engineer, you'll lead the design and development of data ingestion, ETL, and multi-agent analytical systems by creating scalable schemas and transformation layers that power analytics and AI agents across the UAE and beyond.
 
 
 
 
 
 
 Your key responsibilities:
 
 
 <ul>
 <li>
 Build and maintain end-to-end
 
 data ingestion and ETL pipelines
 
 </li>
 <li>
 Ingest structured and unstructured data from APIs, Snowflake, Oracle, documents, and market data providers
 </li>
 <li>
 Develop production-quality Python services and data workflows
 </li>
 <li>
 Orchestrate pipelines using Kubernetes and workflow tools
 </li>
 <li>
 Apply clean architecture and strong engineering design patterns
 </li>
 <li>
 Design schemas and transformation layers for analytics and AI agents
 </li>
 <li>
 Prepare data for
 
 AI and RAG systems
 
 (chunking, embeddings, retrieval pipelines)
 </li>
 </ul>
 
 
 
 
 
 What you&rsquo;ll bring to the role:
 
 
 
 
 
 
 
 Essential Requirements:
 
 
 <ul>
 <li>
 6+ years of experience in Python
 </li>
 <li>
 3+ years of experience with Kubernetes-based workloads
 </li>
 <li>
 ETL/ELT pipeline Design and orchestration (Airflow, ADF, Databricks or similar)
 </li>
 <li>
 Hands on experience with RAG systems, Embeddings and Vector Databases.
 </li>
 <li>
 Experience with Azure cloud
 </li>
 <li>
 Experience with Data Warehouse Architectures, API and Database integrations
 </li>
 </ul>
 
 
 
 
 
 Desirable Requirements:
 
 
 <ul>
 <li>
 Experience with Snowflake and Oracle
 </li>
 <li>
 Kafka/Event hub streaming systems
 </li>
 <li>
 LLM evaluation, prompt engineering
 </li>
 <li>
 Experience building AI or Data Platforms.
 </li>
 </ul>
 
 
 
 
 
 Location:
 
 
 
 Only considering candidates based in
 
 Dubai or Abu Dhabi.
 
 
 
 Hybrid work model
 
 2-3 days
 
 at the office per week.
 
 
 
 
 
 
 You will receive:
 
 
 <ul>
 <li>
 The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
 </li>
 <li>
 The opportunity to be part of an amazing, multicultural community of tech experts.
 </li>
 <li>
 A highly competitive compensation package.
 </li>
 <li>
 A flexible and hybrid working environment.
 </li>
 <li>
 Employment Visa and Medical insurance.
 </li>
 </ul>
 
 
 
 
 Parser is committed to fostering an inclusive workplace and providing equal employment opportunities to all applicants regardless of race, religion, gender, sexual orientation, age, disability, or any other protected characteristic under applicable law.
 
 
 
 
 
 If you require reasonable accommodations during the recruitment process, please let us know and we will work with you to support your participation.
 
 
 
 
 
 By applying to this role, you acknowledge that your personal data will be processed in accordance with Parser&rsquo;s Privacy Notice for recruitment purposes.
 
 
 
 
 
 Parser may use AI-assisted tools during certain stages of the recruitment process to support operational efficiency. Our recruiting teams use AI to streamline note-taking and scheduling. All hiring decisions are made by people, with human review and oversight.
 
 
 
 
 
 Come and join our #ParserCommunity.
 
 
 https://parserdigital.com/
 
 
 Follow us on
 
 Linkedin
 
 
 
 
 
</div>

<div>Role description 
Senior / Principal Data Platform Engineer (Snowflake &amp; dbt)

London (Hybrid)

ASAP

We are seeking accomplished Data Platform Engineers with extensive experience in Snowflake and dbt to lead the design and delivery of scalable, enterprise-grade data solutions.

This role combines deep technical expertise with strategic influence, shaping data architecture, enabling modern CI/CD practices, and partnering closely with stakeholders to deliver high-impact, production-ready data capabilities. You will play a key role in driving data platform excellence, ensuring robustness, performance, and long-term scalability across the ecosystem. 


Key Responsibilities:
<ul>
<li>Lead the end-to-end delivery of data solutions on Snowflake, ensuring scalability, resilience, and performance</li>
<li>Design and implement modular, testable, and well-documented dbt models, embedding best practices across transformation layers</li>
<li>Build, optimise, and manage CI/CD pipelines using Azure DevOps to enable seamless, automated deployments across environments</li>
<li>Establish and champion engineering standards, including Git workflows, code quality, peer reviews, and release management</li>
<li>Optimise large-scale data workloads through advanced SQL techniques and Snowflake performance enhancements</li>
<li>Partner with business and technical stakeholders to translate requirements into scalable, outcome-driven data solutions</li>
<li>Ensure production readiness, including monitoring, ing, incident resolution, and structured handover to support teams</li></ul> 


What You Will Bring:
<ul>
<li>Extensive experience working with the Snowflake data platform in complex, enterprise environments</li>
<li>Advanced proficiency in SQL, including data modelling, optimisation, and performance tuning</li>
<li>Strong hands-on experience with dbt, including modelling, testing, macros, and incremental processing</li>
<li>Extensive experience with Git-based version control, including branching strategies and code governance</li>
<li>Proven capability in building and maintaining Azure DevOps CI/CD pipelines, supporting automated and scalable deployments</li>
<li>Strong understanding of software development lifecycle and production support models</li>
<li>Ability to engage effectively with cross-functional stakeholders, translating business needs into technical solutions</li>
<li>Strong communication skills, with the ability to convey complex concepts in a clear and structured manner</li>
<li>A proactive, solution-oriented mindset with a focus on delivering measurable outcomes</li></ul> 


Desirable Experience:
<ul>
<li>Experience within data-intensive or regulated industries, such as financial services</li>
<li>Familiarity with data quality frameworks and automated testing approaches</li>
<li>Exposure to the Azure data ecosystem</li></ul> 


Hurry &amp; apply for a more detailed conversation with our team!

#UST 
Skills 
sql server,database triggers,database migration,disaster recovery,query optimization, 
About UST 
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div>

Principal Data Platform Engineer (Snowflake & dbt) - Lead II - Software Engineering

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