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Sr Data Engineer

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  • Company: name
  • Location: Serbia
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SEC filings mentioning "name": 10,000+search EDGAR

Quantiphi is hiring a Senior Data Engineer in Serbia to architect and operate the data platforms that turn raw enterprise information into trustworthy, decision-ready insight. If you thrive on designing scalable pipelines and shaping cloud-native data architecture, this full-time role is your next move.

About the Role

As a Senior Data Engineer based in Serbia, you will lead the design, construction, and upkeep of resilient data pipelines that fuel analytics and business intelligence. Working across both batch and streaming patterns, you'll apply PySpark, SQL, and contemporary data engineering frameworks to deliver dependable, high-performance solutions on Google Cloud.

Key Responsibilities

  • Own the end-to-end data architecture for ingestion, storage, transformation, and analytics on GCP, centered on BigQuery and Cloud Composer.
  • Craft data modeling standards for structured and semi-structured insurance data spanning Policy, Claims, and Billing domains.
  • Partner with Business Analysts to convert Guidewire functional requirements into conceptual and logical models.
  • Define physical schemas, transformation strategies, and data lineage alongside Data Modelers and Engineers.
  • Build SQL-based ELT ingestion layers (staging, raw, curated) sourced from Guidewire systems.
  • Establish governance, metadata management, and data quality practices that support compliance and transparency.
  • Tune BigQuery through partitioning, clustering, query optimization, and storage tiering.
  • Set naming conventions, IAM/RLS security models, and warehouse access controls.
  • Mentor the Data Engineering Lead, Data Modeler, and engineers while aligning solutions with cloud best practices for scale and cost efficiency.
  • Coordinate with security and infrastructure teams to uphold data privacy regulations.

Qualifications

  • 10+ years in data architecture and design, including 6+ years hands-on with GCP.
  • Deep expertise in BigQuery warehouse design and performance tuning.
  • Strong command of Cloud Composer (Airflow) and orchestration workflows.
  • Solid grasp of insurance data structures, ideally Guidewire PolicyCenter, BillingCenter, and ClaimsCenter.
  • Proven experience building enterprise ELT frameworks and layered architectures (staging → raw → curated → analytics).
  • Advanced SQL and analytical schema design skills (star and snowflake models).
  • Familiarity with data governance, cataloging, and metadata management.
  • Ability to guide technical teams and influence both functional and technical stakeholders.

About Quantiphi

Quantiphi is an award-winning Applied AI and Big Data company founded in 2013, recognized as an elite partner for Google Cloud, AWS, NVIDIA, and Snowflake. Joining our Serbia team means collaborating with talented experts, serving Fortune 500 clients, and working at the leading edge of AI, machine learning, data, and cloud innovation.

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Working in Serbia

Serbia, officially the Republic of Serbia, is a landlocked country in Southeast and Central Europe. Located in the Balkans, it is bordered by Hungary in the north, Romania in the northeast, Bulgaria in the southeast, North Macedonia in the south, Croatia in the northwest, Bosnia and Herzegovina in the west, and Montenegro in the southwest. Serbia also claims to share a border with Albania through the disputed territory of Kosovo. Serbia has about 6.6 million inhabitants, excluding Kosovo. Belgrade, Serbia's capital, is also its largest city.

🇷🇸 Relocation safety for Serbia: Exercise Normal Cautionvia Warnely, CC BY 4.0

National unemployment rate in Serbia: 7.1%via World Bank

Wage growth in Serbia (year over year): 14.6%via Eurostat

GDP per capita in Serbia: $15,262via World Bank

Consumer price inflation in Serbia: 3.9% (annual) — via World Bank

Real GDP growth in Serbia: 2.0% (annual) — via World Bank

Statutory minimum wage in Serbia: €744/monthvia Eurostat

Cost of living in Serbia: 38.6% below the EU averagevia Eurostat

    About this role & career path

    Traits that fit this role

    • Innovation
    • Achievement Orientation
    • Intellectual Curiosity
    • Cautiousness
    • Attention to Detail

    Source: O*NET Work Styles (Distinctiveness Rank).

    Typical preparation needed: Job Zone 4: Considerable Preparation Needed. Most of these occupations require a four-year bachelor's degree, but some do not. — via O*NET

    Industry news

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    Salary & compensation

    Workers in Computer & Mathematical occupations earn a national median of $98,769via US Census ACS / Data USA

    Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.

    Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.

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    Listing facts

    • Role Sr Data Engineer
    • Employer Name
    • Location Serbia
    • Type Full Time
    • Posted June 20, 2026
    • Apply by 2026-07-21
    • Country context Serbia
    • Overview Full original description on this page (408 words; rewritten for clarity, not a teaser paste)

    Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.

    Typical work in Data Engineer

    Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.

    • Develop and document database architectures.
    • Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
    • Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements.
    • Design databases to support business applications, ensuring system scalability, security, performance, and reliability.
    • Develop data models for applications, metadata tables, views or related database structures.
    • Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.

    Source: O*NET

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