Senior Data Engineer

Mobysoft Manchester, England, United Kingdom

5 days ago • Be among the first 25 applicants

Salary: Competitive plus excellent benefits

Ideal skills: Data Engineer, MLOps, AI, Smart Data, AWS Certified, Data Governance, Data Transformation, Data Modelling

Founded in 2003, Mobysoft provides data-based insight solutions to a wide range of social housing clients, supplying technology to help landlords improve their income-collection processes for the good of all involved. Mobysoft delivers two market-leading products, which help keep tenants housed in a home they can enjoy and simultaneously improve rent collection for the long‑term good of the organisation.

Location: Manchester (Hybrid) • Start: ASAP

We are an ambitious, customer‑centric Data & Insights team dedicated to developing a new generation of data products that unlock significant value for the social housing sector. Data Engineering is foundational to this mission, ensuring synchronized, curated, trusted, dynamic data is available at speed and scale for our clients, data analysts, data scientists, and stakeholders.

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• Ingest and understand new data sources, evolving our data approach (e.g., to a fully‑fledged data fabric).
  
• Implement and streamline MLOps processes and explore how we can sensibly and safely utilise artificial intelligence (AI) to turbo‑charge our work (e.g., smart data quality monitoring, metadata curation, and service optimisation).
  
• Stale to innovate and drive change; your technical and core skills will develop through diverse challenges.
  
• May liaise with our clients directly or through events, conferences, webinars, etc., to support their data‑driven journeys.
  

Aside from the work opportunities described, your development will be supported, you will receive competitive remuneration and a compelling benefits package, and we are a great team to work with.

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• An honours degree in Information Systems, Computer Science, Information Technology, Software Engineering or a similarly related quantitative discipline.
  
• AWS certification – AWS Certified Data Engineer, Associate.
  
• 4‑5+ years of commercial experience, primarily in an AWS Cloud environment using scalable, performant, reliable solutions.
  
• Strong data reliability/observability, data governance, and information security credentials.
  

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• Amazon Redshift (query tuning, distribution/sort keys, workload management)
  
• Data modelling (normalisation, dimensional)
  
• dbt (modeling, testing, documentation, deployment)
  
• Building scalable ETL/ELT pipelines with Python
  
• Apache Airflow (DAG design, scheduling, monitoring, scaling)
  
• Best practices for dependency management, retries, and alerting
  
• AWS Lambda (Python‑based serverless pipelines, event‑driven processing)
  
• IAM roles, policies, and security best practices
  
• Python, SQL (advanced query writing and optimisation)
  
• CI/CD for data pipelines (Git, GitHub Actions, etc.)
  
• Data quality checks, monitoring, and observability
  
• Infrastructure as Code (Terraform, etc.)
  
• Experience with logging/monitoring, data governance, cataloguing, lineage tools
  
• Ability with structured, semi‑structured, and unstructured file formats (Parquet, JSON, CSV, XML, PDF, JPG)
  
• API development and data de‑identification/anonymisation solutions
  
• Cloud security frameworks on AWS, including data encryption
  

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• Utilising AI within data engineering to drive performance
  
• Facilitating search tools such as Solr
  
• MLOps experience with DVC & mlflow
  
• Full data engineering cycle knowledge for stream data
  

• 
  
• Takes ownership and thrives on improving processes
  
• Is proactive, self‑motivated, and solutions‑focused
  
• Can influence and collaborate across teams
  
• Balances delivery detail with big‑picture thinking
  
• Enjoys mentoring and helping others grow
  
• Is excited to help scale a values‑led SaaS company making a real difference
  

• 
  
• Works effectively both independently and within a team
  
• Critical thinker and problem solver with interest in data engineering frontiers
  
• Detail‑focused, curious, and seeks continuous improvement of systems and skills
  
• Clear written and verbal communication, including with non‑technical audiences; business‑savvy with proven alignment to business goals and OKRs
  
• Optimises personal output in a high‑value team environment
  

• 
  
• Customer‑focused: Drive outcomes that create value for customers
  
• Collaborative: Operate as one, fostering open communication and trust
  
• Outcome‑oriented: Driven by the end goal, rather than just the process
  
• Accountable: Own decisions, set clear expectations, and deliver commitments
  
• Courageous: Contribute positively and challenge constructively
  
• Innovative: Proactively search for solutions and embrace change
  

Competitive salary and rewards package including private health care, 4× salary life cover, 25 days annual leave (increasing to 28 after 3 years), salary sacrificial pension scheme, and more.

We are an equal‑opportunity employer and value diversity. We do not discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will provide reasonable accommodation for applicants with disabilities.

Submit your CV highlighting your suitability or apply via our careers page. We do not work with external agencies for this position.