Data Engineer

About Cloudfactory
At CloudFactory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale.

More than just a workplace, we're a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following.

Our Culture
At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:

• Mission-Driven: We focus on creating economic and social impact
• People-Centric: We care deeply about our team's growth, well-being, and sense of belonging
• Innovative: We embrace change and find better ways to do things together
• Globally Connected: We foster collaboration between diverse cultures and perspectives
• If you're passionate about innovation, collaboration, and making a real impact, we'd love to have you on board!

Role Summary
As a Senior Data Engineer, you will own and evolve CloudFactory's data platforms, pipelines, and analytical foundations, transforming complex, multi-source data into reliable, business-ready datasets. You will work business-first, partnering closely with product, operations, and leadership teams to define metrics, design scalable data models, and ensure high standards of data quality, governance, and performance. By driving modern data engineering best practices, mentoring teammates, and proactively improving our data ecosystem, you will enable confident, data-driven decision-making across the organization.

Responsibilities

• Design, build, and maintain scalable data pipelines and analytics architecture across cloud and on-prem environments
• Develop reliable analytical data models that transform raw data into business-ready datasets
• Define, implement, and own key business metrics, including semantic layers and supporting data structures
• Ensure high data quality and reliability by identifying inconsistencies, resolving data issues, and improving monitoring and governance practices
• Partner with product, operations, finance, and GTM teams to understand analytics needs and deliver actionable insights
• Manage and optimize data pipeline orchestration, including third-party data ingestions and cost/performance improvements
• Lead end-to-end ownership of major reporting domains, ensuring accuracy, health, and long-term scalability.
• Contribute to data engineering standards, documentation, and best practices
• Mentor junior team members and support a culture of continuous improvement
• Participate in incident response, on-call rotations, and post-mortems, proactively improving system reliability

Requirements

• 3-5+ years of experience in Analytics Engineering or Data Engineering
• Expert-level SQL, including complex queries and performance optimization
• Strong Python skills
• Hands-on experience with dbt for data transformation and modeling
• Solid understanding of analytical data modeling techniques. Experience working with both batch and streaming data
• Experience with Snowflake, ClickHouse, or similar data warehouse technologies
• Hands-on experience with ETL/ELT tools such as Fivetran, Airbyte, PeerDB, or similar
• Experience integrating data from APIs and multiple data sources
• Experience with data orchestration tools, preferably Prefect
• Experience with BI and reporting tools such as Looker, QuickSight, Grafana, or similar
• Familiarity with AWS services (e.g., S3, ECS/Fargate, SNS/SQS)
• Experience with version control and CI/CD practices in analytics workflows (e.g., Git/GitHub, GitHub Actions)
• Strong problem-solving skills and attention to detail
• Ability to work independently and manage multiple priorities in a fast-paced environment
• Strong communication and collaboration skills, with the ability to explain technical concepts to non-technical stakeholders
• Customer-focused mindset and comfort working closely with business teams

Nice-to-have

• Familiarity with data governance, lineage, and documentation tools (e.g., DataHub, Great Expectations)
• Experience with IaC (Terraform, CloudFormation, etc.)

Don't meet all the requirements? Don't sweat it. We're passionate about building a diverse team of humans and as such, if you think you've got what it takes for our chaotic-but-fun, remote-friendly, apply anyway, detailing your relevant transferable skills in your cover letter. While we have a pretty good idea of what we need, we're ready for you to challenge our thinking on who needs to be in this role.

Benefits

• Great Mission and Culture
• Meaningful Work
• Market competitive salary
• Quarterly variable compensation
• Remote and Home working
• Comprehensive medical cover
• Group life insurance
• Personal development and growth opportunities
• Office snacks and lunch
• Periodic team building and social events

At CloudFactory, we believe that work should be more than just a job—it should be a platform for growth, impact, and community. Here, you'll earn with purpose, learn every day, and serve a mission that truly matters. If you're looking for a career where you can develop professionally, contribute meaningfully, and be part of a global movement, we'd love to have you on this journey!

Join us today and be part of our mission to connect people and technology for a better world! Apply now and bring your whole, authentic self to work—we can't wait to meet you!

About Us
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about\-us/

About The Role
We are building a high-scale payment orchestration platform that processes millions of financial transactions every month across multiple providers, regions, and products.

We are looking for an experienced
OpenSearch Enginee
r to own and scale our AWS OpenSearch infrastructure and the pipelines that synchronize data from PostgreSQL.

You will be responsible for search architecture, data ingestion, performance, reliability, reconciliation, and recovery. The role combines search infrastructure, data engineering, and production operations.

Key Responsibilities
OpenSearch

• Own and operate AWS OpenSearch Service in production.
• Design indices, mappings, analyzers, templates, aliases, shards, and retention policies.
• Optimize search queries, aggregations, filtering, pagination, and bulk indexing.
• Investigate slow queries, indexing bottlenecks, hot shards, memory pressure, and rejected requests.
• Plan safe upgrades, migrations, reindexing, and capacity scaling.

PostgreSQL-to-OpenSearch pipelines

• Build and maintain reliable pipelines that synchronize PostgreSQL data with OpenSearch.
• Support inserts, updates, deletes, backfills, and full reindexing.
• Use AWS-native services such as AWS DMS, OpenSearch Ingestion, Lambda, SQS, S3, ECS, or EKS where appropriate.
• Implement retries, idempotency, deduplication, replay, dead-letter handling, and failure recovery.
• Monitor ingestion lag, throughput, failed records, and data freshness.
• Build reconciliation processes to detect and repair missing, stale, or inconsistent documents.
• Ensure ingestion does not negatively affect the transactional PostgreSQL workload.

Reliability and operations

• Monitor cluster health, search latency, indexing latency, storage, CPU, JVM pressure, and shard distribution.
• Build CloudWatch dashboards, alerts, and operational runbooks.
• Design snapshot, restore, backup, and disaster-recovery procedures.
• Participate in production incident response and root-cause analysis.
• Implement secure access using IAM, role-based access control, encryption, and least-privilege principles.

Collaboration

• Work closely with backend, database, infrastructure, and product teams.
• Help design efficient OpenSearch document models for payments, customers, subscriptions, and transactions.
• Define standards for searchable fields, schema changes, and index versioning.
• Document architecture, data flows, and recovery procedures.

Qualifications

• Strong production experience with OpenSearch or Elasticsearch.
• Hands-on experience with AWS OpenSearch Service.
• Experience building data pipelines between PostgreSQL and OpenSearch.
• Strong understanding of:

• Index and shard design
• Mappings and analyzers
• OpenSearch Query DSL
• Aggregations, sorting, filtering, and pagination
• Bulk indexing and cluster performance
• Data consistency, retries, idempotency, and replay

• Experience with large datasets and high indexing or query volumes.
• Experience performing backfills and reindexing safely.
• Strong troubleshooting and production-operations skills.

Nice to have

• Experience with AWS DMS or OpenSearch Ingestion.
• Experience with Lambda, SQS, S3, ECS, EKS, or Terraform.
• Experience building custom ingestion services in Go, Java, or Python.
• Experience in payments, billing, fintech, or subscription systems.
• Experience with multi-tenant or high-volume search platforms.
• Familiarity with ClickHouse, Tinybird, or similar analytical systems.
• AWS certifications.

Location
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.

Benefits
Discover the perks of being part of our vibrant team! We offer:

• Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
• Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
• Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
• Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
• Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1\_mni\_CZeDkHdwfIjPXVwvk/preview?tab\=t.0\#heading\=h.ndsdl4wapxtt

Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!

Interview Process
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:

• Recruiter Screening (40 minutes)
• Technical Interview (60 minutes)
• Final Interview (60 minutes)

Life at Ruby Labs
At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.

This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.

Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.

Intetics Inc. is a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and "all-things-digital" solutions. Based on its proprietary business model of
Remote In-Sourcing®
, advanced
Technical Debt Reduction Platform (TETRA™)
, and measurable quality management platform (
Predictive Software Engineering
), Intetics enables clients to achieve measurable business results.

Position Details

Position: BI Developer / Apache Superset Dashboard Engineer

Level: Mid to Senior

Technologies: Apache Superset, Elasticsearch Query DSL, SQL (Postgres/Oracle), Unix/Linux, Jira

Workload: 700 hrs/year

Location: Remote — work from anywhere

English level: Advanced

Education: Technical degree

Role Description

We are seeking a BI Developer / Apache Superset Dashboard Engineer to design, build, and optimize data visualizations and KPI dashboards in Apache Superset.

This role involves transforming complex datasets into clear, actionable insights through interactive dashboards and reports, working closely with data engineers and analysts.

You will ensure high-quality data visualization aligned with business objectives and contribute to Agile delivery in a fast-paced environment.

Role Description
We are seeking a
BI Developer / Apache Superset Dashboard Engineer
to design, build, and optimize data visualizations and KPI dashboards in
Apache Superset
.

This role involves transforming complex datasets into clear, actionable insights through interactive dashboards and reports, working closely with data engineers and analysts.

You will ensure high-quality data visualization aligned with business objectives and contribute to Agile delivery in a fast-paced environment.

Requirements
Technical Responsibilities and Skills
What You'll Do:

• Design and develop Apache Superset dashboards for KPIs and data insights.
• Write and optimize Elasticsearch Query DSL queries.
• Work extensively with SQL on PostgreSQL and/or Oracle.
• Operate in Unix/Linux environments for data access and automation tasks.
• Deliver work tracked through Jira, following Agile methodology.

What We're Looking For:

• ≥ 3 years of Apache Superset (dashboard & KPI design).
• ≥ 3 years of Elasticsearch Query DSL.
• ≥ 3 years of SQL on Postgres and/or Oracle.
• ≥ 3 years in Unix/Linux environments.
• ≥ 3 years of Jira-tracked Agile delivery.
• Advanced English and a technical degree.

Nice-to-Have / Bonus:

• Superset certification.
• Background in UX/UI or data visualization.
• Experience developing custom Superset plugins or visualizations

Job Description
Job Title:
Data Analyst Excel

Job Type:
Contract

Location:
Remote

Job Summary:
In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities

• Conduct in-depth data analysis using Microsoft Excel to extract actionable insights and support decision-making across teams.
• Collaborate with project stakeholders to understand data requirements and translate them into meaningful analyses.
• Review, clean, and validate datasets to ensure accuracy, consistency, and integrity.
• Develop clear, concise reports and visualizations to communicate findings to both technical and non-technical audiences.
• Identify trends, anomalies, and opportunities in complex datasets, contributing to strategic initiatives.
• Document methodologies, results, and recommendations with meticulous attention to detail.
• Contribute expertise to enhance data-driven decision-making processes within the customer's team.

Required Skills And Qualifications

• Proven experience performing data analysis in a business environment using Microsoft Excel as the primary tool.
• Exceptional attention to detail and accuracy in data processing and reporting.
• Strong written and verbal communication skills, with the ability to clearly articulate analytical findings.
• Demonstrated ability to work collaboratively across teams to drive business outcomes.
• Solid understanding of Excel functions, formulas, and data visualization tools.
• Proficiency in identifying data inconsistencies and implementing corrective measures.
• Experience working in fast-paced, data-driven organizations.

Preferred Qualifications

• Experience supporting cross-functional teams with data insights to inform business strategy.
• Background in presenting analytical outcomes to diverse audiences.
• Familiarity with additional data analysis tools or business intelligence platforms.