Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Principal Data Engineer

SS&C Technologies
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Principal Data Engineer - Azure Databricks (Unity Catalog)

Principal Data Engineer - Azure Databricks (Unity Catalog) - Contract

Principal Data Engineering Consultant

Principal Data Engineer - Azure Databricks (Unity Catalog)

Principal Data Engineer – Azure Databricks (Unity Catalog) - Contract

Principal Data Engineering Consultant

Join to apply for the Principal Data Engineer role at SS&C Technologies

1 day ago Be among the first 25 applicants

Join to apply for the Principal Data Engineer role at SS&C Technologies

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

Job Description

Title: Principal Data Engineer

Location: Melbourne/Sydney/Brisbane, Australia || Hybrid

Role Type: Full Time

Job Description

Get To Know Us:

SS&C GIDS provides information processing and computer software services and products. The Company’s operating segments include financial markets, customer management, professional services, and output solutions. SS&C GIDS serves the alternative investments, asset and wealth management, banking and lending, insurance, and real estate industries.

Why You Will Love It Here!

  • Flexibility: Hybrid Work Model
  • Your Future: Income Protection Insurance & Salary Continuance
  • Work/Life Balance: Generous Bereavement & Compassionate leave
  • Your Wellbeing: Private Health Insurance discount, Primary & Secondary Paid Parental leave, Death & TPD Insurance
  • Diversity & Inclusion: Committed to Welcoming, Celebrating and Thriving on Diversity
  • Training: Hands-On, Team-Customized, including SS&C University
  • Extra Perks: Discounts on fitness clubs, travel and more!

What You Will Get to Do:

As part of the Global Investor and Distribution Solutions (GIDS) APAC Data Platform team, you will play a key role to lead the design, development, and optimisation of our enterprise data platform. This role is pivotal in shaping our data platform strategy, ensuring scalability, reliability, and performance across our data ecosystem.

  • Architect and lead the development of scalable, secure, and high-performance data platforms
  • Own the design and implementation the Data platform using modern data stack technologies including but not limited to:
    • Event-driven and batch data-based data ingestion and pipelines (e.g., Debezium, Kafka, Flink, Spark, Data Lab)
    • Data visualisation & reporting (e.g. SSRS, Pentaho, Data Lens)
    • Data governance (e.g. DataHub)
  • Collaborate with data architect, analysts, and engineers to deliver robust data solutions
  • Champion automations by using tools like Terraform, CloudFormation, and CI/CD pipelines
  • Ensure data quality, governance, and compliance across all data systems
  • Mentor and guide junior engineers and contribute to a culture of technical excellence
  • Evaluate and integrate emerging technologies to enhance platform capabilities
  • Lead incident response and root cause analysis for data platform issues

What You Will Bring:

  • Bachelor’s degree in computer engineering, Computer Science, Information Systems, or a related field
  • 10+ years of experience in a data engineering related role for senior-level candidates
  • Excellent English communication skills, both written and verbal
  • Proficiency in modern data platform engineering
  • Hands-on experience with end-to-end data platform engineering design and implementation
  • Experience with automation across engineering
  • Familiarity with modern data platform technology stack with open source tools preferred
  • Experience with GitHub, PR process, CI/CD pipeline, and code/release management
  • Proficiency in public and private cloud, AWS, Kubernetes, Docker
  • Expert in streaming technologies and ETL/ELT data pipelines (e.g. Debezium CDC, Kafka, Flink, Spark, NiFi, etc.)
  • Expert database technologies and data lake storage (e.g. MSSQL, Postgres, Iceberg, etc.)
  • Expert in Data analytics and reporting (e.g. SSRS, Pentaho, Data Lens, Trino, etc.)
  • Expert in Data Governance by using tools like DataHub
  • Proficiency in at least one programming language, preferably Python and Java
  • Knowledge of AI/MCP is an advantage but optional

We encourage applications from people of all backgrounds to enable us to bring diverse perspectives to our thinking and conversation. It's important to us that we strive to have a workforce that is diverse in the widest sense.

Thank you for your interest in SS&C! If applicable, to further explore this opportunity, please apply directly with us through our Careers page on our corporate website @ www.ssctech.com/careers.

Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesSoftware Development

Referrals increase your chances of interviewing at SS&C Technologies by 2x

Sign in to set job alerts for “Data Engineer” roles.

St George, UT $100,000.00-$115,000.00 15 hours ago

Washington County, UT $194,000.00-$277,600.00 2 weeks ago

St George, UT $150,000.00-$200,000.00 1 week ago

Software Dev Engineer, Amazon Aurora DSQL

Washington, UT $151,300.00-$261,500.00 11 hours ago

Aerospace Systems Dynamics and Controls EngineerSr Software Development Engineer, AFX - Sales Planning Tools

Washington, UT $151,300.00-$261,500.00 1 hour ago

St George, UT $175,000.00-$225,000.00 4 days ago

Sr. Software Development Engineer, Aurora Engineering

Washington, UT $151,300.00-$261,500.00 11 hours ago

Sr. Software Development Engineer, AWS Tax and Invoicing

Washington, UT $151,300.00-$261,500.00 15 hours ago

ADC Engineer II, Non-Relational Database Services

Washington, UT $105,200.00-$188,200.00 11 hours ago

St George, UT $175,000.00-$205,000.00 2 days ago

St George, UT $130,000.00-$160,000.00 2 days ago

St George, UT $180,000.00-$215,000.00 2 weeks ago

St George, UT $140,000.00-$175,000.00 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has quickly become one of the most transformative forces in modern technology. What began as a subset of artificial intelligence—focused on algorithms that learn from data—has grown into a foundational capability across industries. From voice assistants and recommendation systems to fraud detection and predictive healthcare, machine learning underpins countless innovations shaping daily life. In the UK, demand for ML professionals has surged. Financial services, healthcare providers, retailers, and tech start-ups are investing heavily in ML talent. Roles like Machine Learning Engineer, Data Scientist, and AI Researcher are among the most sought-after and best-paid in the tech sector. Yet we are still only at the start. Advances in generative AI, quantum computing, edge intelligence, and ethical governance are reshaping the field. Many of the most critical machine learning jobs of the next 10–20 years don’t exist yet. This article explores why new careers will emerge, the kinds of roles likely to appear, how today’s jobs will evolve, why the UK is well positioned, and how professionals can prepare.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.