Data Engineer

at  Hypertype

111 43 Stockholm, Stockholms län, Sweden -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate24 Dec, 2024Not Specified27 Sep, 202420 year(s) or aboveGood communication skillsNoNo
Add to Wishlist Apply All Jobs
Required Visa Status:
CitizenGC
US CitizenStudent Visa
H1BCPT
OPTH4 Spouse of H1B
GC Green Card
Employment Type:
Full TimePart Time
PermanentIndependent - 1099
Contract – W2C2H Independent
C2H W2Contract – Corp 2 Corp
Contract to Hire – Corp 2 Corp

Description:

We are seeking a skilled and innovative Data Engineer to join our team. This position is ideal for an individual passionate about creating efficient and scalable data solutions in a dynamic and fast-paced environment. As a Data Engineer, you will collaborate with cross-functional teams to enhance our data infrastructure and support data-driven decision-making.

COMPANY DESCRIPTION

Hypertype is an AI-powered text based communication platform that finds the most relevant information and writes smarter customer emails & live chats, using real-time company data.
305 billion emails sent and received every single day. We live in an information overload era, with ever-changing customer scenarios to process and answer. Customer facing roles still spend 20-30 mins just to find the right answers and draft high quality email, connecting the dots from millions of data sitting inside their company. Our vision is to make the smartest experience for customer communications with data.
Only a single digit % of SMEs has adopted AI in their customer facing teams. We have over 200 paying companies including Mynt, Yazen, Remote and many more.
Our customers proudly recognize us for delivering the “highest quality answers in the market… outsmarting Gemini, Fin, Microsoft Copilot etc”. —a testament to our unwavering commitment to excellence and precision in every interaction.
Join us on our mission to build the world’s smartest and most accurate AI brain across customer domains and beyond. If you’re driven and ready to contribute to something groundbreaking, this is your chance to be part of a mission that is setting new industry standards.

QUALIFICATION

  • Proven experience in working with or building ingestion frameworks and orchestration tools. Strong background in ETL processes, data pipelines, large-scale data processing, and both batch and streaming data processing.
  • Track record in developing and integrating new data sources in various formats and modalities to support deal closure.
  • Experience in designing data architectures to meet business needs and developing data platform architectures.
  • Familiar with data security and compliance (e.g., PII handling, ISO 27001, SOC 2, GDPR). Familiarity with the Vanta platform is a strong plus.
  • Versatile Software Engineering Skills: A solid engineering background with a robust foundation in software engineering principles. You have written code for and supported production engineering systems.
  • Proficient in Python and SQL, with experience in GCP: Our data stack utilizes Python, BigQuery, Elasticsearch, and is deployed on GKE and Cloud Run.
  • Bachelor’s degree in Computer Science, Engineering, AI, Mathematics, or a related field. A Master’s degree is a plus.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities:

  • Developing and maintaining scalable, robust, and efficient data pipelines.
  • Ensuring data quality and reliability by implementing monitoring, CI/CD, and testing practices.
  • Designing, developing, and maintaining scalable APIs for integrating new data sources. Collaborate with frontend developers to ensure APIs are efficient, well-documented, and deliver the necessary data for UI/UX components.
  • Troubleshooting and resolving data-related issues, ensuring continuous data flow and minimal downtime.
  • Identifying opportunities for performance improvements and proactively implementing solutions to improve the data architecture.
  • Rapidly integrating new data sources to support POCs and MVPs, working closely with co-founders and the sales team to offer technical expertise throughout the sales process.
  • Improving the user experience through optimizing data pipeline and proactively improve performance to support efficient data processing
  • Collaborating with cross-functional teams including the Product Manager, ML Engineer and the founders to deliver data-driven insights and solutions.
  • Collaborating with the Sales team to provide technical expertise during the sales process, including the creation of technical proposals, and solution design.
  • Own problems end-to-end, and are willing to pick up whatever knowledge you’re missing to get the job done


REQUIREMENT SUMMARY

Min:20.0Max:25.0 year(s)

Information Technology/IT

IT Software - DBA / Datawarehousing

Software Engineering

Graduate

Computer science engineering ai mathematics or a related field

Proficient

1

111 43 Stockholm, Sweden