Senior Data Engineer at PA Knowledge Limited - Denmark

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

04 May, 26

Salary

125000.0

Posted On

03 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Big Data Lakes, Data Warehouses, ETL, ELT, Data Quality Checks, Cloud Experience, Spark, Agile, DevOps, Data Modelling, Data Visualisation, Monitoring Tools, Data Platforms, Automation

Industry

Business Consulting and Services

Description

Company Description We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life Job Description Your day to day We’re an innovation and transformation consultancy that believes in the power of ingenuity to build a positive-human future in a technology-driven world. Our diverse teams of experts combine innovative thinking with breakthrough-technologies to progress further, faster. Are you ready to harness the power of data to drive advancements in healthcare? Are you passionate about both developing new capabilities and ensuring the optimization and reliability of existing data systems? Are you passionate about designing, building, and operating data infrastructure that plays a pivotal role in improving patient outcomes and shaping the future of medicine? If you're seeking a rewarding career at the intersection of healthcare and technology, we invite you to be part of our dynamic team. This is a unique, multi-year, project-based opportunity to build and grow a clinical data registry platform over many years working with a dedicated team of collaborators and customers. As a Data Engineer for our cutting-edge medical data registry, you'll be at the forefront of managing, optimizing, and expanding our data infrastructure, enabling critical insights that can positively impact patient outcomes. This role provides a dynamic mix of innovative new development—enhancements, optimizations, and Proofs of Concept—alongside meaningful hands‑on ownership of production pipelines, data flows, and platform operations. You will contribute to system improvements while also owning the monitoring, troubleshooting, tuning, and day-to-day reliability of the existing data ecosystem. If you're excited about leveraging your data engineering skills to make a difference in the world of healthcare, we want to hear from you. Qualifications At least 6 years of industry working experience Advanced SQL and Python Expertise in the design and construction of Big Data Lakes and Data Warehouses capable of ingesting, standardizing, and serving billions of data rows spanning diverse datasets ranging from tens to hundreds Experience building dynamic, metadata driven pipelines and analyses Experience maintaining and supporting production data systems, including pipeline monitoring, troubleshooting, and delivering long‑term reliability and optimization enhancements Building and managing fully automated data pipelines (ETL, ELT, ELTL) including: Designing and building data interfaces to source systems Combining and transforming data into the appropriate format for storage Developing data sets for analytics purposes Developing pipelines that can handle common issues/errors in a robust and automated way Implementing data quality checks, observability, and cost/performance optimization Cloud experience in Azure, AWS or GCP Ability to balance enhancement work with operational responsibilities in a production environment Preferred qualifications Spark / PySpark experience highly preferable Working in Agile and DevOps environments Basic Python, Bash, or PowerShell for automation Data modelling – Kimball, Data Vault, Star/Snowflake schema, Query-first etc. Data visualisation in Power BI, Tableau, Qlik or similar Architecting Data Platforms - designing BI/MI/Analytics solutions using Big Data, Relational or Streaming technologies Experience with monitoring/observability tools (logging, alerting, pipeline health dashboards) One or more of the following certifications: Microsoft Certified: Azure Data Engineer Associate AWS Certified Data Analytics - Specialty GCP Professional Data Engineers Additional Information Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples’ working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. We are currently operating a discretionary hybrid working model which is designed to help you plan your work and your life. We want our people to come into the office at least two days a week. We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity – bringing ingenuity to life. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. The salary range for this role is between $90,000 - $125,000. Benefits Group medical insurance Health Savings Account with company match Teladoc and informed Nurse line resources Long term care plan Group dental insurance Vision plan 401(k) Savings Plan with company profit sharing contribution Commuter and Parking tax-savings benefit 15 days paid vacation days with the opportunity to buy five additional days 10 paid Holidays plus 10 paid sick days Company and Voluntary income protection benefits Gym and health incentive reimbursement Pet and legal insurance Plans Employee Assistance Plan Annual performance-based bonus #LI-MB1

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Responsibilities

As a Data Engineer, you will manage, optimize, and expand the data infrastructure for a clinical data registry platform. This role involves both innovative development and hands-on ownership of production pipelines and data flows.