Associate, Software Engineer – Data Focus

SitusAMC Holdings Corporation; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

Join an innovative firm that is reshaping the real estate industry by leveraging cutting-edge technology and data solutions. As a data engineer, you will play a crucial role in architecting and building reliable data pipelines, ensuring data quality, and collaborating with diverse teams to support analytical use cases. This position offers an exciting opportunity to work with advanced technologies and contribute to impactful projects. If you are passionate about data and eager to make a difference, this role is perfect for you!

Benefits

Comprehensive benefits plan

Discretionary bonuses

Flexible working hours

Professional development opportunities

Qualifications

• 5+ years of experience in data engineering or related fields.
• Proficient in Python and familiar with data pipeline technologies.

Responsibilities

• Architect and build data pipelines for efficient data processing.
• Engage in data analysis and troubleshooting for data integrity.

Skills

Python 3

Data Pipeline Development

Data Analysis

Geospatial Data

Test-Driven Development

Git

Communication Skills

Attention to Detail

Education

Bachelor’s degree in related field

Tools

AWS

Docker

Django 4

pandas

GeoPandas

boto3

Data Version Control (DVC) 2

ADO

Job description

SitusAMC is where the best and most passionate people come to transform our client’s businesses and their own careers. Whether you’re a real estate veteran, a passionate technologist, or looking to get your start, join us as we work together to realize opportunities for everyone, we proudly serve.

At SitusAMC, we are looking to match your unique experience with one of our amazing careers, so that we can help you realize your potential and career growth within the Real Estate Industry. If you are someone who can be yourself, advocate for others, stay nimble, dream big, own every outcome, and think global but act local – come join our team!

Essential Job Functions:

• Architect and build reliable, efficient, scalable, and maintainable data pipelines to ingest and process data.
• Take ownership of significant parts of the data team's solution development.
• Onboard, document and curate external datasets for internal usage.
• Engage in data interpretation and forensic data analysis and troubleshooting.
• Produce high-quality, tested, maintainable, and readable code, and improve the existing codebase.
• Contribute to the peer review process to ensure code quality.
• Demonstrate end-to-end understanding of the data pipeline’s ETL processes and how they fit into the overall application architecture.
• Collaborate closely with stakeholders and researchers to support analytical and product use cases
• Evaluate data sources to understand the content and how it fits with our feature requirements, identifying missing or erroneous data.
• Architect and build data pipelines which fetch data from public and private data suppliers’ APIs, S3 buckets, and web interfaces in various formats (e.g., JSON, CSV, Excel, PDF, Parquet), join geographical shapes with data from multiple sources, and perform various transformations.
• Create programmatically validated data schemas, as well as human-readable documentation, to specify requirements to our partners.
• Explore alternate data engineering technologies and solutions.
• Other activities as may be assigned by your manager

Qualifications/ Requirements:

• Bachelor’s degree in related field, or equivalent combination of education and experience
• Experienced professional with 5+ years of industry and/or relevant experience, typically at a Senior Analyst or Analyst level role or external equivalent
• Experience in the following Technical Stack: Data Pipeline Stack: Python 3, pandas, GeoPandas, boto3, Pydantic, Data Version Control (DVC) 2, Core API Stack: Python 3, Django 4, Infrastructure: AWS, EKS, Docker, ADO (for CI/CD pipelines, git hosting, ticket tracking),Hardware: Mac, Linux
• Experience with cloud platforms (e.g., AWS, Azure).
• Broad understanding of Financial Services/Capital Markets/Asset Management.
• Experience working with geospatial data.
• Experience in feature engineering for Machine Learning applications.
• Experience with data engineering frameworks.
• Portfolio of past experience (e.g., demos of past work, contributions to open source, blogs, talks).
• Self-motivated, creative, inquisitive. Great attention to detail.
• Good communication skills and a team player.
• Proficient in Python: demonstrated experience working in teams of Python developers on large projects.
• Solid understanding of algorithms and data structures.
• Experience with building features using test-driven development.
• Solid experience using Git for version control.
• Solid grasp of data concepts (relational databases, data cleansing, validation).
• Understanding basic statistics.
• Experience working with Agile methods based on fast iteration and validation cycles.

Note: This job description is not intended to be all inclusive or exclusive. At any time, employees may perform other related duties as required to meet the ongoing needs of the organization and participate in additional trainings. SitusAMC does not accept unsolicited resumes from staffing agencies, search firms or any third parties. Any unsolicited resume submitted to SitusAMC in any manner will be considered SitusAMC property, and SitusAMC will not pay a fee for any placement resulting from the receipt of an unsolicited resume.

Specific compensation is determined through interviews and a review of relevant education, experience, training, skills, geographic location and alignment with market data. Additionally, certain positions may be eligible to receive a discretionary bonus as determined by bonus program guidelines, position eligibility and SitusAMC Senior Management approval.

SitusAMC offers a comprehensive and competitive benefits plan.

SitusAMC is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.