database engineer

Delivery Hero

<div>Company Description 
Yemeksepeti is part of the Delivery Hero Group, the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience&mdash;fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. 
Job Description 
<ul><li>
Manage all database instances including installation, configuration, and maintenance</li><li>
Perform database maintenance and tuning activities to ensure high availability and performance</li><li>
Manage database capacity planning and scalability processes</li><li>
Design, operate, and maintain PostgreSQL and MSSQL high availability clusters (e.g. Patroni, streaming replication, SQL Server Always On)</li><li>
Automate manual database operations within defined timeframes</li><li>
Implement best practices to continuously improve service quality</li><li>
Manage database backup, restore, and recovery operations</li><li>
Provide high-quality database support for development teams</li></ul> 

Qualifications 
<ul><li>
3+ years of hands-on experience installing, configuring, and administering NoSQL and RDBMS databases (PostgreSQL required; MSSQL knowledge is a strong plus)</li><li>
Experience in Payment Systems or Fintech environments</li><li>
Solid understanding of database administration, architecture, and infrastructure</li><li>
In-depth understanding of High Availability and Disaster Recovery strategies</li><li>
Strong troubleshooting skills with the ability to analyze database and OS-level metrics</li><li>
Experience in query optimization and performance tuning</li><li>
Experience in automating DBA tasks (Ansible, Python, etc.)</li><li>
Experience with monitoring and alerting tools (e.g. Prometheus, Grafana)</li><li>
Experience with PostgreSQL high availability solutions (Patroni experience is a plus)</li></ul> 

Additional Information 
<ul><li>
A chance to crown your career at Yemeksepeti, Turkey's largest online quick delivery platform, that has been raising future managers and industry leaders for 20 years!</li><li>
A working environment where employee happiness is prioritized, with a strong corporate culture, passionate colleagues working together towards the same goal, and a transparent management approach!</li><li>
Project opportunities that you can run together with the employees of Delivery Hero companies in 43 countries of the world and great teachings about global industry leadership!</li><li>
Flexible work hours so that you can plan your business and social life as you wish! (Start working at any time between 08:00 and 10:00!)</li><li>
A birthday leave waiting for you the next day so you can have fun and party as much as you want on your birthday!</li><li>
Online trainings shaped by your choices, where the opportunities you can learn and improve yourself are unlimited!</li><li>
A comprehensive private health insurance that will never let you down when you need it!</li><li>
The Yemeksepeti family! Always smiling and high communication skills!</li><li>
A pre-planned orientation program so that you can capture the spirit of Yemeksepeti in the best way, get to know the brand from the inside, and always feel at home. And of course, a Buddy who will always support you in your first weeks!</li></ul><div></div>
At Yemeksepeti, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters and how you achieve it defines us. Together, they move the business forward and deliver great experiences. Learn more about our Leadership Principles here.
Your rights arising from the processing of your personal data, within the scope of the Law on the Protection of personal data. You can find detailed information on the page of our Clarification Text at https://www.yemeksepeti.com/contents/kvkk-aday-aydinlatma-metni</div>

Database Engineer

TP-LINK

<div>ABOUT US:
Headquartered in the United States, TP-Link Systems Inc. is a global provider of reliable networking devices and smart home products, consistently ranked as the world&rsquo;s top provider of Wi-Fi devices. The company is committed to delivering innovative products that enhance people&rsquo;s lives through faster, more reliable connectivity. With a commitment to excellence, TP-Link serves customers in over 170 countries and continues to grow its global footprint.
We believe technology changes the world for the better! At TP-Link Systems Inc, we are committed to crafting dependable, high-performance products to connect users worldwide with the wonders of technology.
Embracing professionalism, innovation, excellence, and simplicity, we aim to assist our clients in achieving remarkable global performance and enable consumers to enjoy a seamless, effortless lifestyle. 
 
KEY RESPONSIBILITIES<ul><li>
Proactively identify and troubleshoot cloud database faults to minimize downtime and maintain optimal performance.</li><li>
Continuously monitor and optimize cloud database performance for scalability, efficiency, and responsiveness.</li><li>
Partner closely with business departments to understand their needs and ensure database availability aligns with business goals.</li><li>
Collaborate on cloud database architecture enhancements to support evolving requirements.</li><li>
Provide technical support and training to development teams, fostering a strong understanding of cloud database best practices.</li><li>
Lead the construction and ongoing maintenance of our database platform in the cloud environment.</li><li>
Participate in the development of database operation and maintenance products and related components.</li><li>
Lead the construction and ongoing maintenance of our database platform.</li><li>
Stay up to date on emerging database technologies and products to identify opportunities for improvement and support business growth.</li></ul> 

Requirements 
REQUIRED QUALIFICATIONS<ul><li>
Bachelor's degree or higher in Computer Science, Information Technology, or a related technical field.</li><li>
5 years of experience administering cloud (AWS) database systems like MySQL, PostgreSQL, etc.</li><li>
Familiarity with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB, Redis) and practical experience with their operation is a plus.</li><li>
Proficiency in Linux administration, including service deployment, troubleshooting, and performance tuning.</li><li>
Proficiency in at least one programming language (e.g., Shell, Python, Java) for scripting and automating database operations.</li><li>
Excellent communication and collaboration skills, with the ability to work effectively under pressure.</li><li>
Ability to work independently and manage multiple priorities in a fast-paced environment.</li></ul> 
PREFERRED QUALIFICATIONS<ul><li>
Working knowledge of distributed system concepts like data replication and election mechanisms.</li><li>
Experience using open-source middleware in large-scale environments.</li><li>
Experience using or developing tools (e.g., DMS) to achieve zero downtime data migration.</li></ul> 

Benefits 
Salary range: TBD<ul><li>
Free snacks and drinks</li><li>
Fully paid medical, dental, and vision insurance (partial coverage for dependents)
</li><li>Contributions to 401k funds</li><li>
Bi-annual reviews, and annual pay increases</li><li>
Health and wellness benefits, including free gym membership</li><li>
Quarterly team-building events</li></ul>
At TP-Link Systems Inc., we are continually searching for ambitious individuals who are passionate about their work. We believe that diversity fuels innovation, collaboration, and drives our entrepreneurial spirit. As a global company, we highly value diverse perspectives and are committed to cultivating an environment where all voices are heard, respected, and valued. We are dedicated to providing equal employment opportunities to all employees and applicants, and we prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Beyond compliance, we strive to create a supportive and growth-oriented workplace for everyone. If you share our passion and connection to this mission, we welcome you to apply and join us in building a vibrant and inclusive team at TP-Link Systems Inc.
Please, no third-party agency inquiries, and we are unable to offer visa sponsorships at this time.</div>

Senior Cloud Operations Engineer - DBA

Cognition

<div>
 
 We are an applied AI lab building end-to-end software agents.
 
 
 
 We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.
 
 
 Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
 
 
 Building Devin and Windsurf is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.
 
 
 
 About The Role
 
 
 
 We're hiring a technical Data Engineer to own our full data stack &ndash; from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll design and maintain the systems that keep our data reliable, accessible, and actionable across the company.
 
 
 There are multiple openings across various teams: GTM, Core Product, and Finance.
 
 
 
 
 
 In This Role You Will
 
 
 
 <ul>
 <li>
 Design and manage database architecture and data models
 </li>
 <li>
 Build and maintain ETL/ELT pipelines and orchestration workflows
 </li>
 <li>
 Create and manage new data integrations across internal and external systems
 </li>
 <li>
 Own business reporting: datasets, dashboards, metrics, and self-serve analytics
 </li>
 <li>
 Ensure data quality, observability, governance, and documentation
 
 
 </li>
 </ul>
 
 Requirements For The Role
 
 
 
 <ul>
 <li>
 4+ years in a data engineering, data science, or full-stack data role
 </li>
 <li>
 Expert on SQL and Python (required)
 </li>
 <li>
 Experience with data modeling, warehouse architecture, and BI-oriented schema design
 </li>
 <li>
 Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)
 </li>
 <li>
 Experience building or maintaining BI reporting (Metabase a plus)
 </li>
 <li>
 Experience developing scalable backend heavy applications
 </li>
 <li>
 Strong knowledge of statistics and experimentation
 </li>
 <li>
 Based in SF or NYC
 
 
 </li>
 </ul>
 Equal Opportunity
 
 
 Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.
</div>

Data Engineer

NavitasPartners

<div><h1 class="jobSectionHeader">Senior Data Architect / Data Engineer</h1>

Location: Washington, DC 
Duration: 6 Months (Possible Extension)

Position Overview

We are seeking a highly experienced Senior Data Architect / Data Engineer to support a large-scale data modernization initiative focused on transforming legacy data environments into modern cloud-based analytical platforms.

This role will be responsible for designing, developing, and optimizing enterprise data architectures, scalable ETL/ELT pipelines, and advanced analytics infrastructure to support economic forecasting, policy research, and enterprise reporting initiatives.

The ideal candidate is a hands-on technical expert with deep experience in enterprise data engineering, cloud technologies, workflow orchestration, database architecture, and large-scale data integration. This individual will collaborate closely with research teams, data analysts, architects, and business stakeholders to improve data accessibility, scalability, governance, and operational efficiency.

<h2 class="jobSectionHeader">Key Responsibilities</h2>
<h3 class="jobSectionHeader">Data Architecture &amp; Engineering</h3>
<ul><li>Design, develop, and maintain scalable enterprise data architectures and analytical platforms</li>
<li>Build and optimize robust ETL/ELT pipelines for ingesting, transforming, and delivering structured and unstructured data</li>
<li>Develop scalable database solutions, data lakes, and enterprise data platforms</li>
<li>Create conceptual, logical, and physical data models aligned with business and research objectives</li>
<li>Implement data integration strategies across multiple on-premises and cloud-based systems</li>
</ul><h3 class="jobSectionHeader">Data Pipeline Development</h3>
<ul><li>Design and automate data workflows using modern orchestration tools</li>
<li>Develop scalable data processing frameworks for high-volume datasets</li>
<li>Optimize data flows, database performance, and pipeline efficiency</li>
<li>Implement monitoring, validation, and data quality controls across all data systems</li>
</ul><h3 class="jobSectionHeader">Cloud &amp; Platform Modernization</h3>
<ul><li>Support migration of legacy systems and workflows to modern cloud platforms</li>
<li>Implement scalable cloud-native data solutions and automation frameworks</li>
<li>Collaborate on enterprise modernization and DataOps initiatives</li>
<li>Assist with CI/CD implementation and deployment automation for data platforms</li>
</ul><h3 class="jobSectionHeader">Database &amp; System Administration</h3>
<ul><li>Design and maintain relational and enterprise database structures</li>
<li>Develop backup, recovery, and access security procedures</li>
<li>Maintain metadata documentation, data dictionaries, and technical specifications</li>
<li>Ensure data integrity, governance, and compliance standards are maintained</li>
</ul><h3 class="jobSectionHeader">Collaboration &amp; Stakeholder Support</h3>
<ul><li>Partner with economists, analysts, technical teams, and business stakeholders</li>
<li>Translate complex business requirements into scalable technical solutions</li>
<li>Provide technical leadership and recommendations for future-state architecture</li>
<li>Support analytics, visualization, and reporting initiatives</li>
</ul><h3 class="jobSectionHeader">Process Improvement &amp; Innovation</h3>
<ul><li>Identify opportunities for automation and operational efficiency improvements</li>
<li>Conduct root cause analysis for data and system-related issues</li>
<li>Contribute to enterprise data architecture standards and best practices</li>
<li>Support adoption of advanced analytics and machine learning capabilities</li>
</ul><h2 class="jobSectionHeader">Required Qualifications</h2>
<h3 class="jobSectionHeader">Education</h3>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, Engineering, or related technical field</li>
<li>Advanced degree preferred</li>
</ul><h3 class="jobSectionHeader">Experience</h3>
<ul><li>Minimum 7+ years of experience in Data Architecture, Data Engineering, or related technical roles</li>
<li>Strong hands-on experience designing enterprise data platforms and data integration solutions</li>
<li>Experience building and maintaining large-scale ETL/ELT pipelines</li>
<li>Experience with cloud migrations and modern data infrastructure implementations</li>
</ul><h3 class="jobSectionHeader">Technical Skills</h3>

Strong experience with:
<ul>
<li>Advanced SQL development</li>
<li>Python and/or R scripting</li>
<li>Relational databases including:
<ul><li>PostgreSQL</li>
<li>Microsoft SQL Server</li>
<li>MySQL</li>
</ul></li><li>Workflow orchestration tools such as:
<ul><li>Apache Airflow</li>
<li>Prefect</li>
<li>Dagster</li>
</ul></li><li>Source control platforms:
<ul><li>GitHub</li>
<li>GitLab</li>
</ul></li><li>Linux-based development environments</li>
<li>Data modeling and database optimization</li>
<li>Data quality and governance practices</li>
</ul><h3 class="jobSectionHeader">Cloud Experience</h3>

Experience with one or more:
<ul>
<li>Amazon Web Services</li>
<li>Microsoft Azure</li>
<li>Snowflake</li>
</ul><h2 class="jobSectionHeader">Preferred Qualifications</h2>
<ul><li>Experience working with economic, financial, or research datasets</li>
<li>Experience with time-series data and forecasting analytics</li>
<li>Experience implementing Change Data Capture (CDC) methodologies</li>
<li>Experience with NoSQL or graph database technologies</li>
<li>Experience with machine learning model deployment and maintenance</li>
<li>Experience implementing CI/CD pipelines and DataOps practices</li>
<li>Knowledge of Java, Scala, JavaScript, or Perl</li>
<li>Experience supporting enterprise analytics and visualization platforms</li>
</ul>
For more details reach at resumes@navitassols.com</div>

Senior Data Architect / Data Engineer - 26-06256

Quicklaunch Analytics

<div>At QuickLaunch Analytics, we help organizations simplify the complex world of data. As a Data Platform Engineer, you will play a critical role in designing, building, and delivering modern data platforms for our customers while also partnering directly with them to ensure successful deployment and adoption.

This is a highly impactful, hybrid role that blends hands-on engineering with customer-facing consulting. You&rsquo;ll work across Azure, Databricks, and Microsoft Fabric to implement scalable, production-ready data solutions that power enterprise analytics. 


What You&rsquo;ll Do 

<ul>
<li>Design and deploy modern data platforms in Azure Databricks, including full environment setup (storage, compute, catalogs, security) and infrastructure optimization</li>
</ul><ul><li>Build scalable data pipelines and Lakehouse solutions using Python, SQL, and orchestration across Databricks and Microsoft Fabric</li>
</ul><ul><li>Lead customer implementations and technical delivery, supporting new deployments, upgrades, and escalation troubleshooting in Azure environments</li>
</ul><ul><li>Develop and manage ETL/ELT integrations across third-party tools and custom APIs, ensuring reliable, production-grade data workflows</li>
</ul><ul><li>Implement secure, high-performance data architectures, including Unity Catalog, OneLake security, networking (VPNs, private endpoints), and cost optimization</li>
</ul><ul><li>Partner directly with customers as a technical advisor, translating business needs into data platform solutions and driving best practices across Databricks and Fabric</li> 
</ul>
Who You Are 

<ul>
<li>Strong hands-on experience with Databricks and/or Fabric, Spark, Python, and SQL, with the ability to build and troubleshoot production-grade data pipelines</li>
</ul><ul><li>Solid foundation in database concepts and data modeling, with experience working across structured and semi-structured datasets</li>
</ul><ul><li>Experience with ETL/ELT tools and data integration, including tools like Fivetran and building/customizing API-based data pipelines</li>
</ul><ul><li>Comfortable working in customer-facing or consulting environments, supporting new implementations in Azure Databricks or Microsoft Fabric</li>
</ul><ul><li>Working knowledge of identity and access management concepts (e.g., Entra ID users, groups, and permissions)</li>
</ul><ul><li>Strong aptitude for diagnosing, isolating, and resolving complex technical issues efficiently</li>
</ul><ul><li>Ability to communicate effectively with both technical and non-technical customers and team members</li>
</ul>
Nice to Have
<ul>
<li>Experience using AI and automation tools to streamline workflows, including exposure to AI agents or intelligent automation frameworks</li>
</ul><ul><li>Experience configuring private endpoints in Azure, including networking setup and DNS configuration</li>
</ul><ul><li>Understanding of Power BI and Fabric licensing and how licensing might impact deployment approach</li>
</ul><ul><li>Familiarity with Linux environments and cloud-based data ecosystems</li></ul> 


Working Location: Remote (USA) or hybrid (Santa Cruz County, CA) 
 
Compensation: The estimated base salary range for this role is $125,000-155,000. There is also an opportunity for a discretionary bonus. 


About Us:

At QuickLaunch Analytics, our purpose is to simplify the often-complex world of data analytics. For over 20 years, we&rsquo;ve helped 250+ companies make better decisions by delivering a unified platform for trusted, enterprise-wide data.

We&rsquo;re a team of 35+ professionals with deep expertise in Power BI, Databricks, and Azure Cloud. Our culture is built on ownership, collaboration, and continuous learning, reflected in strong outcomes for both our customers and our team.

If you enjoy solving complex data challenges and want to work closely with customers to deliver real-world impact, we&rsquo;d love to hear from you.</div>

Data Platform Engineer

<div>ABOUT US:
Headquartered in the United States, TP-Link Systems Inc. is a global provider of reliable networking devices and smart home products, consistently ranked as the world&rsquo;s top provider of Wi-Fi devices. The company is committed to delivering innovative products that enhance people&rsquo;s lives through faster, more reliable connectivity. With a commitment to excellence, TP-Link serves customers in over 170 countries and continues to grow its global footprint.
We believe technology changes the world for the better! At TP-Link Systems Inc, we are committed to crafting dependable, high-performance products to connect users worldwide with the wonders of technology.
Embracing professionalism, innovation, excellence, and simplicity, we aim to assist our clients in achieving remarkable global performance and enable consumers to enjoy a seamless, effortless lifestyle. 
 
KEY RESPONSIBILITIES<ul><li>
Design, build, and continuously evolve cloud-native infrastructure storage platforms that support distributed databases, middleware systems, and large-scale data services.</li><li>
Design scalable and reliable storage platform capabilities, including data placement, sharding, replication, indexing, compaction, compression, validation, backup, and recovery frameworks.</li><li>
Build infrastructure storage solutions by integrating and extending open-source database, storage, and middleware technologies to meet enterprise-grade platform requirements.</li><li>
Drive automation for infrastructure provisioning, configuration management, CI/CD pipelines, observability, and operational workflows using Terraform, Ansible, Go, and Python, including authoring Ansible playbooks and roles that orchestrate database operational tasks across large fleets of distributed database nodes, covering provisioning, configuration, rolling upgrades, patching, backup/restore, and recovery.</li><li>
Develop reusable platform components and standardized storage capabilities that enable application teams and database teams to efficiently manage large-scale distributed data systems.</li><li>
Work closely with DBA teams to understand database platform requirements, storage-layer constraints, performance bottlenecks, and data governance needs, and translate them into scalable infrastructure solutions.</li><li>
Partner with DBAs to design and improve underlying database capabilities, including storage format optimization, indexing strategy, data partitioning, compaction policy, backup architecture, and recovery design.</li><li>
Evaluate architecture trade-offs across performance, scalability, availability, consistency, cost, and operational complexity for distributed storage and database platforms.</li><li>
Design and implement performance optimization solutions across storage engines, system I/O, network communication, resource scheduling, and distributed data-processing paths.</li><li>
Build observability, diagnostics, and automation capabilities as part of the platform design to improve system transparency, troubleshooting efficiency, and engineering productivity.</li><li>
Collaborate with application engineering, DBA, SRE, architecture, and platform teams to standardize storage infrastructure capabilities and support the long-term evolution of the company&rsquo;s database and storage platforms.</li></ul> 

Requirements 
REQUIRED QUALIFICATIONS<ul><li>
Bachelor&rsquo;s degree or above in Computer Science, Software Engineering, Computer Engineering, or a related field.</li><li>
7+ years of experience in backend engineering, cloud infrastructure, distributed systems, database systems, storage infrastructure, or related areas.</li><li>
Solid understanding of distributed system principles, including CAP, BASE, replication, sharding, load balancing, failure detection, consistency models, and fault tolerance.</li><li>
Hands-on experience designing or building distributed databases, storage systems, middleware platforms, message queues, or large-scale data-processing systems.</li><li>
Strong understanding of storage engine or database internals, including B+-tree, LSM-tree, indexing, compaction, compression, data validation, and storage optimization.</li><li>
Experience building platform-level capabilities or reusable infrastructure components for database, storage, or data-processing systems.</li><li>
Proficiency in at least one programming language such as Go, Java, C++, Python, or Rust.</li><li>
Hands-on experience with Ansible (playbooks, roles, inventory management, idempotent task design) and using it to automate database or distributed-system operational workflows at scale.</li><li>
Solid knowledge of Linux systems, networking fundamentals, file systems, I/O performance, and distributed system troubleshooting.</li><li>
Ability to work closely with DBA teams and translate database requirements into infrastructure platform design and technical solutions.</li><li>
Strong problem-solving skills with the ability to analyze complex performance, scalability, and reliability challenges in distributed systems.</li><li>
Strong communication and cross-functional collaboration skills.</li></ul> 
PREFERRED QUALIFICATIONS<ul><li>
Cloud-native infrastructure, Kubernetes, containerized platforms, or cloud storage services.</li><li>
Open-source systems such as Cassandra, Kafka, Redis, MySQL, VictoriaMetrics, Loki, ELK or similar technologies.</li><li>
Designing systems with high QPS, low latency, large-scale storage, or strict availability requirements.</li><li>
Multi-region architecture, cross-site disaster recovery design, active-active architecture, hot/cold standby, or automated failover solutions.</li><li>
Partnering with DBA teams on database platform design, data governance, backup and recovery architecture, or storage-layer optimization.</li><li>
Contributing to architecture reviews, technical design documents, platform standards, or infrastructure solution design.</li></ul> 

Benefits 
Base Salary Range: TBD<ul><li>
Free snacks and drinks</li><li>
Fully paid medical, dental, and vision insurance (partial coverage for dependents)
</li><li>Contributions to 401k funds</li><li>
Bi-annual reviews, and annual pay increases</li><li>
Health and wellness benefits, including free gym membership</li><li>
Quarterly team-building events</li></ul>
At TP-Link Systems Inc., we are continually searching for ambitious individuals who are passionate about their work. We believe that diversity fuels innovation, collaboration, and drives our entrepreneurial spirit. As a global company, we highly value diverse perspectives and are committed to cultivating an environment where all voices are heard, respected, and valued. We are dedicated to providing equal employment opportunities to all employees and applicants, and we prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Beyond compliance, we strive to create a supportive and growth-oriented workplace for everyone. If you share our passion and connection to this mission, we welcome you to apply and join us in building a vibrant and inclusive team at TP-Link Systems Inc.
Please, no third-party agency inquiries, and we are unable to offer visa sponsorships at this time.</div>

Senior Cloud Software Engineer - Database

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 5268
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 We are seeking for a Data Engineer who will empower sonnen&rsquo;s business with data-driven insights, services and products with the help of sonnen&rsquo;s AWS-based analytics platform and by provisioning data from various sources from within and outside the company.
 
 
 We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 You develop and maintain data analysis processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You collaborate with the business SMEs and stakeholders to understand their data requirements and support their analysis and modeling needs.
 </li>
 <li>
 You adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Gitlab).
 </li>
 <li>
 You stay up-to-date with emerging trends and technologies in data engineering, and assess their potential applications to our business needs.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 You hold a bachelor&rsquo;s degree in Computer Science or a related technical field
 </li>
 <li>
 You have 3+ years of relevant employment experience (Data Scientist, Engineer or Architect)
 </li>
 <li>
 You have experience with data architecture and warehousing solutions (e.g. AWS Redshift, Databricks)
 </li>
 <li>
 You continue to enhance the existing platform, creating the technical foundation for scalable processes. Both data and result quality are important to you.
 </li>
 <li>
 You have good knowledge of Python, Pandas, SQL, NoSQL, RestAPI
 </li>
 <li>
 You are fluent in English. German is a plus.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Computer Science, Quality Assurance, Database, SQL, Technology
</div>

Data Engineer (m/w/d)

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