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Title: Data Engineer 
Duration: 12 months
Location: Dublin, Ireland (2-3 days onsite per week)
Sponsorship not provided.

Our Healthtech client are seeking a highly skilled Data Engineer with extensive experience in data modelling and data governance to join their customers team. This role will focus on transforming research and development (R&D) insights into production-level solutions, particularly within the healthcare sector.


Responsibilities:

  • Develop and maintain robust data models.

  • Implement and oversee data governance practices.

  • Conduct risk assessments and provide improved options for consumers.

  • Transition R&D findings to production.

  • Perform data quality checks and monitoring.

  • Collaborate with the product team to finalize data engineering handover processes.

  • Data Transformation and Processing: Develop data transformation routines to clean, normalize, and aggregate data. 

  • Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare the data for analysis, reporting, or machine learning tasks.



Skillset

  • Minimum 3+ years exp in Data Engineering (Mid to Senior level preferable)

  • Skills - Python, SQL, Spark & Azure

  • Preferable exp – Snowflake & Kafka

  • Previous experience within the health care and/or highly regulated industries would be preferable.



For more information reach out to nicolam@alldus.com. 

Our client is a trailblazer in security innovation and they are hiring a talented Computer Vision Data Engineer to join their team in New York. The successful candidate will assist the company's AI team in the creation and upkeep of datasets, with a specific emphasis on computer vision tasks involving both images and videos.


Responsibilities:

  • As the Computer Vision Data Engineer, you will engage in data generation, cleaning, annotation, and the creation of new datasets.

  • You will contribute to the development of automated annotation processes for image and video datasets, such as identifying various accessories like hats and glasses in images containing people.

  • Collaborate with external partners to procure new datasets, including utilizing crowdsourcing methods for image and video collection, as well as annotating existing datasets.


Skillset:

  • 3 years of industry experience in software development, data science, or machine learning.

  • Bachelor's degree in a STEM field (Science, Technology, Engineering, Mathematics) is preferred.

  • Proficiency in Python programming language.

  • Demonstrated experience handling large-scale computer vision datasets exceeding 10 million items.

  • Familiarity with machine learning and deep learning principles, with the ability to self-educate if necessary.

  • Track record of implementing machine learning and deep learning algorithms sourced from academic literature.

  • Prior experience with perceptual hashing techniques and image deduplication methods is a bonus.



Salary: $110k - $145k


If this sounds like the role for you, apply now in the link below or email your resume directly to shane@alldus.com for consideration.

Our client leads the charge in security innovation and they are hiring a Senior Backend Infrastructure Engineer to join the team in New York. The successful candidate will engage with the latest cutting-edge technologies, contributing to the company's mission of defending and preserving the integrity of information.


Responsibilities: 

  • As the Senior Backend Infrastructure Engineer, you will craft and execute resilient backend systems and infrastructure to guarantee reliability, efficiency and peak performance.

  • You will orchestrate the deployment and integration of their offerings in on-premise environments for clients, ensuring smooth integration and alignment with client requirements.

  • Supervise continuous integration and deployment (CI/CD) pipelines to optimize development workflows.

  • Offer technical leadership and mentorship to junior engineers and team members.

  • Keep abreast of emerging technologies and industry trends to integrate into infrastructure solutions.



Skillset:

  • Bachelor’s degree in Computer Science, Information Technology or equivalent.

  • At least five years of hands-on experience in backend development and infrastructure management.

  • Proficient in backend programming languages including Node.JS, Go, Python, and Java, with familiarity in Rust.

  • Extensive expertise in utilizing cloud platforms such as AWS, Azure, and Google Cloud, supplemented by certifications like AWS Solutions Architect Professional, AWS Developer Associate, and AWS DevOps Engineer Professional.

  • Additional experience with GCP and Azure is a plus.

  • Proficiency in infrastructure as code tools like Terraform and Pulumi is necessary.

  • Demonstrated proficiency in database management encompassing SQL, NoSQL, and server-side technologies.

  • Experience with container orchestration tools such as Docker and Kubernetes.

  • Familiarity with automation and configuration management tools.



Salary: $155k
 

Interested? Apply now in the link below or email your resume directly to shane@alldus.com for consideration.

Our client in the Financial Services sector is revolutionizing fixed income trading with innovative, user-friendly automated solutions. They are hiring a Software Engineer to join their Data and AI team in New York to collaborate on the development of cutting-edge solutions. 



Responsibilities: 

  • As the Software Engineer, you will be responsible to design, develop and maintain robust, high-performance software.

  • You will work with cross-functional teams to address complex problems and improve trading infrastructure.

  • Engage in the entire software development lifecycle, from concept to deployment.

  • Ensure software applications achieve maximum speed, scalability, and security.

  • Provide mentorship to junior team members.



Skillset:

  • Bachelor's degree in Computer Science, Engineering or equivalent.

  • Excellent problem-solving abilities and attention to detail.

  • Strong experience in Python programming.

  • Solid understanding of algorithms, data structures, and software design principles.

  • Hands-on experience with distributed systems and Docker.

  • Knowledgeable about relational databases, NoSQL databases, and various data processing techniques.

  • Skilled in Git version control and familiarity with CI/CD best practices.

  • Understanding of Google Cloud Platform, low-latency computing, and machine learning methodologies.

  • Experience with large-scale data processing, Kubernetes, distributed computing technologies (e.g., Apache Spark, Dask), and distributed streaming platforms (e.g., Apache Kafka).



Benefits:

  • Salary: $175k - $250k DOE

  • Fully paid medical, dental, and vision coverage.

  • Remote and flexible work arrangements.



If this sounds like the role for you, apply now in the link below or email your CV directly to angelo@alldus.com for consideration.

Job Title: Senior Data Engineer
Duration: 12 months
Location: Hybrid (Dublin or Donegal)

A fortune 500 customer of Alldus is seeking an experience Snr Data Engineer to support multiple project streams across an initial 12-month contract. There is a high chance of extension.

Responsibilities:
  • Develop and maintain data pipelines for ETL processes from various sources to centralized storage.
  • Integrate data from multiple sources including databases, APIs, and external providers for unified analysis.
  • Clean, normalize, and aggregate data using transformation routines.
  • Contribute to code development frameworks and automation of data pipelines.
  • Implement data governance and standards.
  • Collaborate with Data Analytics and Product leaders on best practices.
  • Partner with Infrastructure leaders to advance data and analytics platforms.
  • Monitor and resolve issues in data pipelines and systems.

Required Qualifications:
  • Strong experience in data modelling and processing.
  • Proficiency in PySpark, SQL, and orchestration tools (e.g., ADF, Airflow).
  • Familiarity with realtime and batch data processing.
  • Experience with AWS, Azure, or GCP cloud deployments.
  • Knowledge of Hive, HBase, Presto, and SQL.
  • Understanding of DevOps tools, Git, and CI/CD pipelines.
  • Ability to engage with both business and technical audiences.
  • Experience supporting big data pipelines and data governance in regulated environments.

If you are based in Ireland do not require sponsorship to work as a day rate contractor and have the above experience, please share an updated CV.
 

Our client is a prominent financial services organization committed to fulfilling customers' financial needs and supporting their success. The company offers a diverse range of banking, investment, and mortgage products and services catering to the financial well-being of thousands of customers worldwide. 


They are hiring a Head of Data Platform to assume a crucial role in shaping the data landscape within their Investment Banking division. The successful candidate will be responsible for supervising the development of data architecture, guaranteeing its alignment with business goals and the firm's strategic objectives.



Responsibilities:

  • As the Head of Data Platform, you will be responsible to define and execute a comprehensive strategy to identify and leverage diverse data sources across the organization.

  • You will oversee the development of data architecture, ensuring it aligns with business goals and strategic objectives.

  • Work collaboratively with product owners and data managers to clearly outline and communicate data requirements and solutions.

  • Integrate data governance standards into solution designs to uphold data integrity, compliance and operational efficiency.

  • Act as a liaison between the data management team and senior leadership, offering valuable insights to key decision-makers.

  • Provide thought leadership and guidance on best practices in the realms of data management and technology.




Skillset:

  • At least eight years of experience in Data Management, Business Research, Analytics, or Project Management.

  • Minimum of 4 years of Management experience.

  • Expertise in investment banking, financial markets and technology.

  • Proven track record of leading data management or technology teams within a banking environment.

  • Extensive knowledge of data architecture, governance, and compliance regulations in the finance sector.

  • Ability to comprehend and leverage new technologies to enhance business operations.

  • Excellent people skills, showcasing the capability to collaborate, negotiate and influence individuals at all levels of the organization.



Salary: $200k - $400k DOE


If this sounds like the role for you, apply now in the link below or email your resume directly to angelo@alldus.com.