Qureos Mentor

Mirai, a Scopely company

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 Our Generative AI products are only as good as the data behind them. This role owns that data layer from end to end: the pipelines that bring data in, the transformations that shape it, and the way it reaches retrieval systems, agents, and analytics. The work runs on AWS, and the aim is a single governed source that every consumer can rely on.
 
 
 We want someone who has already built data pipelines for AI systems, not only for reporting. Preparing data for an LLM or an agent brings its own work around chunking, embeddings, indexing, and keeping content current, and you have done it before. The team is small and spans several languages, so you will own your pipelines and help set the standards the rest of us follow.
 
 
 
 What You Will Do
 
 
 
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 Build and run the batch and streaming pipelines that move data from source systems into the lake and through to the warehouse, owning the layers in between from raw to curated, along with their schema, quality, and lineage
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 Build the data layer behind retrieval: source connectors, document parsing, chunking, embedding generation, and vector indexing, including re-embedding when content changes
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 Model curated, query-ready datasets and metrics so AI and analytics consumers work from one definition instead of each rebuilding the logic
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 Add quality checks, validation, and monitoring so problems surface before they reach a model or a user
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 Apply access control where it belongs: row and column level rules, PII handling, and entitlement-aware datasets, enforced as close to query time as the stack allows
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 Work with the platform and DevOps engineers to expose data and retrieval as documented, dependable services
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 Keep storage, compute, and query costs in check, with particular attention to the cost of embedding and vector workloads
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 Review code, write the documentation, and help shape how the team builds its data layer
 
 
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 Requirements
 
 
 
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 Eight or more years in data engineering overall. That includes hands-on work building data for AI or ML systems such as retrieval, embeddings, or feature data, which can be a more recent part of your background
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 Strong SQL and strong Python, including PySpark or similar distributed processing
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 Production experience across the AWS data stack: S3 for the lake, Glue for ETL and the Data Catalog, Athena for serverless query, and Redshift as the warehouse
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 Hands-on experience with a layered data architecture, whether you call it medallion (bronze, silver, gold), a data lake feeding a warehouse, or a lakehouse, including building the transformation stages that move data from raw to curated
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 Experience with an ELT or integration tool such as Airbyte, Fivetran, or Meltano, including building or maintaining connectors
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 Experience with event-driven pipelines using SQS and SNS, and with at least one streaming or change-data-capture technology such as Kinesis, Amazon MSK, or Debezium
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 Hands-on experience with a semantic or metrics layer over the warehouse, such as Cube or the dbt Semantic Layer
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 Hands-on experience with at least one vector store and embedding workflow: pgvector, Amazon OpenSearch, Pinecone, Weaviate, or Milvus
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 Comfort with columnar and open table formats: Parquet together with Apache Iceberg, Delta Lake, or Hudi
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 Working knowledge of an orchestrator such as Amazon MWAA, Step Functions, Dagster, or Prefect, and enough infrastructure as code to work closely with DevOps
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Senior Data Engineer

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 Overview:
 
 
 
 We're looking for a Communications Specialist to support the day-to-day execution of internal and external communications, with a strong focus on employee engagement.
 
 
 This role is hands-on and fast-paced. It's ideal for someone who is organized, proactive, and able to manage multiple requests while keeping things moving. You'll play a key role in bringing structure and consistency to internal communications, while supporting external channels as needed.
 
 
 
 Key Responsibilities
 
 
 
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 Managing day-to-day internal communications (announcements, updates, newsletters) with timely delivery
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 Coordinate with multiple departments to gather content and maintain consistent, aligned messaging
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 Manage internal channels (email, Slack, digital screens, and future platforms)
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 Support and run employee engagement initiatives, internal events and activities
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 Taking ownership of selected initiatives end-to-end (planning, execution, and reporting)
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 Ensure consistent follow-up and timely closure on all communication requests
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 Support external communications by drafting and publishing content across digital channels (LinkedIn, Instagram, TikTok, X)
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 Track and report on communication and engagement activities
 
 
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 Requirements
 
 
 
 
 Requirements:
 
 
 
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 :2-4 years of experience in communications, PR, or a related field
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 Strong written and verbal communication skills, with the ability to present information clearly, confidently, and effectively to diverse audiences
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 Someone who is organized, detail-oriented, and good at coordination
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 Able to manage multiple priorities and stakeholders in a fast-paced environment
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 Comfortable taking ownership of tasks and driving them to completion
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 Proactive, with the ability to think ahead, take initiative, and follow through
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 Familiar with digital communication tools (email, Slack, social media)
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 Basic design skills (Canva, Adobe, or similar)
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 Comfortable tracking results and reporting on outcomes
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 Experience working with vendors or external partners
 
 
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 Preferred Qualifications:
 
 
 
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 Experience in internal communications or employee engagement
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 Experience working in a corporate or fast-paced environment
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 Basic understanding of communication performance metrics
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 :2 years experience in international companies or abroad studies
 
 
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 Why This Role
 
 
 
 This role sits within a growing communications function. The successful candidate should be comfortable working in an evolving environment and willing to take on a variety of responsibilities as the function continues to develop.
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Communications Specialist

Join Mirai, a Scopely company and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Mirai, a Scopely company

About Company

Senior Data Engineer

Communications Specialist