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Senior Software Engineer - Big Data & Analytics

Are you curious, motivated, and forward-thinking? At FIS you'll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun.

About the team

Enterprise Big Data Services provides FIS Big Data capabilities including large scale data processing, analytics, fraud platforms, machine learning engineering, stream processing and data insights. We provide large compute clusters in multiple datacenters and public cloud. Our teams self-organise using agile practises.

What you will be doing

You will be hands-on designing and evolving our cloud data platform. You'll be solving new challenges on a daily basis as we build out new advanced data processing capabilities to serve analytics, data sharing, reporting and machine learning use cases.

• Solving engineering problems across the big data ecosystem

• Working with modern cloud data engineering tools (Airflow, Snowflake, Spark, Databricks, Kafka)

• Driving the design and implementation of technical solutions with other developers and architects

• Using "monitoring driven development" to ensure operational quality from the outset

• Designing for system observability with Prometheus, Telegraf, ELK stack, Splunk etc.

What you bring:

• Deep technical understanding formed from a hands-on programming and/or computer science background

• Programming mastery in at least one of Python, Scala or Java

• Familiarity with TDD, BDD, CI/CD and modern devops/automation tools

•Experience of high-volume transactional systems

•Passion for devops and maximising developer efficiency

•Experience operating in one of the major public clouds (or relevant certifications)

Added bonus if you have:

• Experience with either Spark or Kafka
• Big Data - batch and stream processing applications

• Snowflake, Redshift, BigQuery, adoop, Hbase, Hive, Parquet/ORC

• Understanding of columnar stores, partitioning and clustering

• Cloud experience or certifications, particularly AWS

• Understanding of secure coding and secure infra

• Hands-on capability with Terraform, Ansible, Sqitch

• ML background (e.g. Jupyter, Pydata)

What we offer you

•A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities

•A competitive salary and benefits

•Varied and challenging work to help you grow your technical skillset

•A fantastic range of benefits including private medical cover, dental cover and travel insurance


Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.


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