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2 дня назад

Software Engineer - Data, Lakehouse and AI Data Platform Engineer - Vice President (AI)

Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US/Sweden
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR
Software Engineer - Data, Lakehouse and AI Data Platform Engineer - Vice President (AI): Building production data pipelines, curated datasets, and platform capabilities for analytics and AI use cases with an accent on distributed processing, data modelling, and data quality. Focus on designing scalable Lakehouse workflows, reconciling historical data, optimizing performance, and leading delivery across engineering workstreams.

Location: Stockholm, Sweden

Company

hirify.global is a global investment banking, securities and investment management firm founded in 1869, with offices around the world.

What you will do

  • Build, enhance, and support batch and streaming data pipelines on the Lakehouse and AI data platform.
  • Develop raw, refined, and curated datasets for analytics, reporting, and AI use cases.
  • Apply data modelling, schema evolution, partitioning, clustering, and performance optimization techniques.
  • Implement data quality controls, reconciliation processes, monitoring, testing, and root-cause analysis.
  • Collaborate with engineers, platform teams, and data consumers to deliver production-ready data products.
  • Lead technical design and delivery for workstreams while supporting less experienced engineers.

Requirements

  • Bachelor’s or master’s degree in a relevant discipline, or equivalent practical experience, with strong quantitative or data engineering expertise.
  • Strong hands-on programming experience in Python or Java and good working knowledge of SQL.
  • Experience building or supporting production data pipelines in a collaborative engineering environment.
  • Experience with distributed data processing frameworks such as Apache Spark.
  • Knowledge of software engineering fundamentals, including version control, testing, release discipline, and CI/CD.
  • Understanding of temporal data modelling, schema design, data compatibility, data quality, reconciliation, and scalable performance techniques.

Nice to have

  • Experience with Kafka, Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, or Sybase IQ.
  • Experience with JSON, Avro, and Parquet data formats.
  • Experience with containerized or Kubernetes-based deployment approaches.

Culture & Benefits

  • Opportunities for professional and personal development through training and development programs.
  • Firmwide networks, wellness programs, personal finance offerings, and mindfulness programs.
  • Commitment to diversity, inclusion, and reasonable accommodations during the recruiting process.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’