Quantexa Data Engineer
London, LND, GB
Capgemini
A global leader in consulting, technology services and digital transformation, we offer an array of integrated services combining technology with deep sector expertise.Job Details
Job Title: Data Engineer Quantexa Delivery
Location: London, UK
Travel/Relocation/Remote: Hybrid 3 days / Week
- Join Capgemini's Financial Crime Compliance Analytics team in London as a Data Engineer, Quantexa Delivery.
- Support Quantexa implementation for clients, focusing on compliance and technology integration.
- Work on various projects within Compliance Analytics, including Implementation, Model Validation, Tuning and Optimization, Data Governance, and Issue Validation.
- Collaborate with a team of data scientists and engineers to solve complex compliance issues.
- Utilize scripting languages like Scala, Spark, Python, and SQL to develop custom data solutions.
- Build and maintain scalable data pipelines within the Quantexa environment.
- Assist in orchestrating ETL/ELT pipelines and implementing data quality checks.
- Communicate progress effectively with stakeholders and document work done.
- Build and maintain relationships with clients, colleagues, and stakeholders.
- Leverage data to make strategic decisions, contribute to client engagements, and support business development activities.
Key Responsibilities
• Work as part of a team of data scientists and data engineers, helping solve complex compliance issues from strategic roadmap to implementation.
• Develop custom data solutions as needed using scripting languages like Scala, Spark, Python, and SQL.
• Build, and maintain scalable, efficient source to surveillance data pipelines within the Quantexa environment.
• Aid in the orchestration of ETL/ELT pipelines
• Implement data quality checks and monitoring processes to ensure the integrity and reliability of data.
• Proactively identify and address data quality issues and performance bottlenecks Write efficient, clean, and well documented code for data pipelines.
• Track and document work done and communicate progress with relevant users in a timely manner.
• Build and maintain effective relationships with clients, colleagues, and other stakeholders to enable open dialogue, win trust and become a trusted business partner.
• Maintain an effective professional network to stay informed of developments within the industry.
Knowledge & Skills
• Proven big data experience, either from an implementation or a data science perspective.
• Experience in working in an Agile environment.
• Expert knowledge of at least one big data technology such as Spark, Hadoop, or Elasticsearch.
• A strong coding background in either Java, Python or Scala
• Consulting or business facing skills and a desire to work with customers
• Strong SQL and Excel skills.
• Familiarity with BI tools e.g., Tableau, Looker.
• Experience with sanctions screening, payment filtering, and transaction monitoring systems.
• Prior experience working as a Quantexa Data Scientist or Data Engineer.
• Deep understanding of data structures, relational databases, and data mapping exercises.
• Ability to resolve technical issues, understand technical architectures at a basic level.
• Prior involvement in data-specific projects, with exposure to fraud, financial crime, customer insight or compliance-based environments that utilize detection.
• Strong verbal and written (English) communication skills required.
• Ability to work in teams of various sizes, including cross-functional teams.
About Capgemini
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion.
Get The Future You Want | www.capgemini.com
What We'll Offer You
Professional development. Accelerated career progression. An environment that encourages entrepreneurial spirit. It’s all on offer at Capgemini. And although collaboration is at the core of the way we work, we also recognise everyone’s needs with a flexible benefits package you can tailor to suit you.
Why We're Different
At Capgemini, we help organizations across the world become more agile, more considerate and more successful. Smart, tailored, often-groundbreaking technical solutions to complex problems are the norm. But so, too, is a culture that’s as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too
Inclusion
Capgemini positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. We are committed to hiring, developing and retaining the best people to deliver innovative, world-class solutions for our clients. We foster an inclusive culture that enables everyone to achieve their full potential and enjoy a fulfilling career with us. Our comprehensive flexible benefits package and lifestyle policies enable our employees to balance their family and work-life needs.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Big Data Consulting Data governance Data pipelines Data quality Elasticsearch ELT Engineering ETL Excel Hadoop Java Looker Pipelines Python RDBMS Scala Spark SQL Tableau
Perks/benefits: Career development Flex hours Relocation support
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Principal Data Scientist jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs