Data platform engineer in intellectual property

Abion; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

Abion – быстрорастущая IP-компания в Великобритании, строящая современную аналитическую платформу и систему управления данными. Ваша задача — спроектировать и внедрять масштабируемую дату-платформу, интегрировать данные из множества источников и обеспечить сетку управления качеством и безопасностью.

Вы будете работать с инструментами BI и облачными решениями (Azure, Databricks), внедрять контролируемые пайплайны ETL/ELT и развивать самодостаточную отчетность для бизнеса и ИИ.

Qualifications

• Опыт создания и эксплуатации современной дата-платформы.
• Навыки проектирования архитектуры данных и управления данными.
• Опыт реализации ETL/ELT пайплайнов и обеспечения качества данных.
• Опыт внедрения самодостаточных отчетов через BI-инструменты.
• Опыт работы с каталогами данных и управлением доступами.

Responsibilities

• Строить корпоративную дата-платформу Abion, обеспечить масштабируемую и проверяемую основу для аналитики и ИИ.
• Интегрировать данные из разных источников через API, CDC и потоковую обработку для ближнего креального времени.
• Разрабатывать и поддерживать ETL/ELT пайплайны и моделировать данные под KPI.
• Обеспечивать самодостаточную отчетность и доступ к данным для приложений и инструментов ИИ.
• Гарантировать управление доступом, качество данных, трассируемость и соблюдение требований.

Skills

Python

PySpark

SQL

Data architecture

CI/CD

Tools

Power BI

Azure

Databricks

Snowflake

Fabric

Job description

Описание:

Abion is a fast-growing and purpose-built IP firm on a mission to become Europe's leading intellectual property powerhouse. With nearly 30 years of experience at the crossroads of law and technology, we offer a full ecosystem of IP solutions spanning across trademark management, domain name management, web security, and online brand protection.

Задачи:

Build Abion’s enterprise data platform, establishing a scalable, trusted foundation for analytics, integration and AI.

Integrate data from a wide range of business systems and external sources using modern techniques such as APIs, change data capture, event streaming and mirroring, enabling near real-time reporting.

Build a complete, trusted knowledge layer, connecting data with business definitions and context so that people, applications and AI can use it with confidence.

Develop robust ETL/ELT pipelines and model data into tested, reusable datasets, working with business owners to define and certify the data and KPIs that matter most.

Deliver trusted, self-service reporting and make data available to applications and AI tools across the business.

Put governance in place from the start: access control, sensitive data classification, lineage, data quality and observability.

Monitor platform performance and cost, keeping both under control as use of data services grows.

Use AI-assisted development tools to accelerate delivery while maintaining high engineering standards.

Work directly with teams across the business and Technology, and champion data, AI and modern ways of working.

Требования:

Significant experience building and running a modern data platform on Microsoft Fabric, Databricks, Snowflake or similar, using a medallion architecture, including managing ingestion performance and forecasting platform costs.

Strong Python/PySpark and SQL, with a track record of production ETL/ELT pipelines integrating data from varied business systems, including less well-documented sources.

Experience delivering self-service data and reporting through tools such as Power BI or custom solutions, with governance (access control, classification, lineage and data quality) implemented in practice.

Hands-on experience with an enterprise-wide data catalogue in active use for cross-system governance, ownership models and access management.

Experience working with unstructured data and building on top of it, for example through knowledge graphs or ontologies.

Experience building secure, scalable solutions on Azure or an equivalent cloud platform.

Regular use of AI-assisted development tools, such as Claude Code or Cursor, with the judgement to review and validate AI-generated output.

The knowledge to architect solutions that use AI and apply best practice when building with it, including security, data privacy, testing and cost control.

Proven end-to-end delivery, from concept to production, in a small, high-impact team, using CI/CD and DevOps best practices and working in an agile, iterative way.

A builder who loves exploring and finding solutions to hard problems.

Able to break down complex system and data problems into clear, deliverable work.

Driven, dedicated and keen to see ideas through to production.

Passionate about data and AI, up to date with new trends, and happy to bring fresh ideas to the table.

Enthusiastic and personable, with the technical depth to back up your stakeholder skills.

Будет плюсом: Experience delivering enterprise AI solutions, such as agents and workflows built on Microsoft Foundry or similar; Experience in IP, legal tech or compliance-adjacent industries; Awareness of AI and data regulations and standards, such as the EU AI Act, ISO/IEC 42001 and GDPR, and how they shape the way solutions are designed and governed

Условия:

Join Europe’s leading Intellectual Property firm, where you'll thrive in a fast-paced, international environment that values transparency, openness, and accountability.

At Abion, we believe in working hard and having fun together.

In this dynamic role, you’ll make an impact in the IP world while collaborating with a talented, global team of experts.

We encourage a balanced lifestyle, offering freedom with responsibility.

Plus, we love celebrating successes and enjoying team activities that bring us closer together!