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Senior Data Engineer
Mobysoft
Senior Data Engineer responsible for ingesting and understanding new data sources, implementing MLOps processes, and exploring the use of artificial intelligence to enhance data quality monitoring and service optimization.
14d ago
£999,999
Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Manchester, England, United Kingdom
Hybrid
Company Size
51 Employees
Service Specialisms
Predictive analytics
AI‑powered social housing software
Rent arrears management
Repairs intelligence
Tenant communications automation
Property data integration
Complaint prediction and management
Void prediction
Sector Specialisms
Social Housing
Rent Collection
Repairs and Maintenance
Data Insight
Predictive Analytics
Income Management
Asset Management
Tenant Welfare
Role
What you would be doing
etl pipelines
python
search tools
ai utilization
- Building scalable ETL/ELT pipelines with Python
- Balances delivery detail with big-picture thinking
- Facilitating search tools such as Solr
- Utilising AI within data engineering to drive performance
What you bring
apache airflow
aws certified
sql
python
mlops
communication
- Ability to work effectively both as an individual (e.g., during remote deep work) and within a team - supportive, collaborative.
- Apache Airflow (DAG design, scheduling, monitoring, scaling)
- Is proactive, self-motivated, and solutions-focused
- Infrastructure as Code (Terraform etc.)
- AWS certification - AWS Certified Data Engineer, Associate certification.
- Ability to work with a range of structured, semi-structured and unstructured file formats including Parquet, json, csv, xml, pdf, jpg.
- SQL (advanced query writing and optimization)
- Can influence and collaborate across teams
- An individual who takes a keen interest in data engineering's frontiers and best practice. Someone who is a critical thinker and a problem solver.
- AWS Lambda (Python-based serverless pipelines, event-driven processing)
- 4-5+ years of commercial experience working primarily in an AWS Cloud environment using approaches/tooling like ours (see technical skills), delivering scalable, performant, reliable solutions.
- Python (data processing, automation, testing)
- MLOps experience including familiarity with tools such as DVC & mlflow
- Amazon Redshift (query tuning, distribution/sort keys, workload management)
- Ability to deliver data deidentification and anonymisation solutions.
- Enjoys mentoring and helping others grow
- Exposure to data governance, cataloguing, and lineage tools
- CI/CD for data pipelines (Git, GitHub Actions, etc.)
- Strong data reliability/observability, data governance and information security credentials.
- Full data engineering cycle knowledge (tools and skills) for stream data
- Tools and methods to develop comprehensive data reliability and active metadata solutions.
- Experience with logging/monitoring
- Ability to work with and develop APIs (including data transformations).
- Data quality checks, monitoring, and observability
- Best practices for dependency management, retries, and alerting
- Data modelling (normalisation, dimensional)
- Clear written and verbal communication, including effective communication with non-technical audiences. Business acumen, i.e., understanding the business context with a proven ability to align and actively support business goals and OKRs.
- An honours degree in Information Systems, Computer Science, Information Technology, Software Engineering or similarly related and quantitative discipline.
- dbt (modeling, testing, documentation, deployment)
Information not given or found
Training + DevelopmentInformation not given or found
Interview process
Information not given or found
Visa SponsorshipInformation not given or found
Security clearance- yes, background checks may be conducted as part of the hiring process.
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Company
Overview
2002
Year Founded
The company was established in 2002, marking the beginning of its journey in revolutionizing housing management with innovative solutions.
250+
Housing Organizations Served
Mobysoft has provided its solutions to over 250 housing organizations across the UK, demonstrating its widespread impact in the industry.
- Revolutionized housing management with its predictive analytics software.
- Offers a dynamic approach to understanding tenant behavior and optimizing financial management.
- Enables better tenant relationships and financial forecasting for housing providers.
- Uses data-driven insights to provide predictive solutions.
- Integrates seamlessly with existing housing management systems.
- Helps housing providers make informed, proactive decisions that boost efficiency.
- Human
- Customer Centric
- Ambition
- Team Work
- Driven to Succeed
- Customer‑focused
- Accountable
- Collaborative
- Courageous
- Outcome‑orientated
- Innovative
2030
Net Zero Target Date
Committed to achieving Net Zero emissions by 2030, reflecting a bold commitment to climate action.
10%
Carbon Emissions Goal
Targeting a significant reduction in carbon emissions to 26.055 tCOâ‚‚e by 2026, marking a 10% decrease from current levels.
100%
Carbon Intensity Goal
Collaborating with Bruntwood to achieve a 100% reduction in the carbon intensity of buildings by 2030, compared to the 2017/18 baseline.
- Launched an employee behaviour programme to educate staff on reducing energy use (e.g. turning off lights and laptops overnight)
- Reducing scope 3 travel emissions by increasing virtual meetings to cut train and car travel where possible
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