Data Engineer
Mobysoft
- Manchester, England, United Kingdom
- Manchester, England, United Kingdom
About
Start: ASAP
Skills required: Ideally 3 years experience as a Data Engineer, AWS (essential and used commercially), some experience in AI Tooling, DBT, Redshift, ETL/ELT, Orchestration
Who we are Founded in 2003, Mobysoft provides data-based insight solutions to a wide range of social housing clients, supplying technology to help landlords to 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.
Our vision is working towards a world in which intelligent technology significantly improves the quality of life for people who live in social housing and our mission is delivering accurate actionable data insights that help social housing providers to deliver a more consistent and equitable service.
What are we looking for? 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. As such we are looking for a Data Engineer (DE) professional to join our dynamic team, working with our most excellent existing Senior Data Engineer, to help us deliver some key projects.
Key Responsibilities Ingesting and understanding new data sources, evolving our data approach (e.g., to a fully‑fledged data fabric), implementing and streamlining MLOps processes and exploring 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).
In short there will be plenty to keep you interested, your technical and power skills developing and a real chance to drive innovation and change.
As part of this you may also be asked to liaise with our clients (directly or through events, conferences, webinars etc.) to help support their data‑driven journeys.
Why should you consider this role? Alongside the work opportunities as described your development will be supported, you will be sensibly remunerated, we will provide a compelling benefits package, and we are a great bunch of folks to work with.
Please note – we are not expecting experience in all of the skills below … we do invest in professional training and development for our employees and we have some very experienced Data Engineers here that you can learn from.
Qualifications and skills Required
Ideally a degree in Information Systems, Computer Science, Information Technology, Software Engineering or similarly related and quantitative discipline.
AWS .. has used AWS commercially. AWS is essential for this role
Circa 3 years of commercial experience working primarily in an AWS Cloud environment using approaches/tooling like ours (see technical skills), delivering scalable, performant, reliable solutions.
Strong data reliability/observability, data governance and information security credentials.
What technical skills are required?
ETL/ELT & Data Transformation
Amazon Redshift (query tuning, distribution/sort keys, workload management)
Building scalable ETL/ELT pipelines with Python
Workflow Orchestration
Best practices for dependency management, retries, and alerting
AWS Lambda (Python‑based serverless pipelines, event‑driven processing)
IAM roles, policies, and security best practices
Programming & Scripting
SQL (advanced query writing and optimization)
Data quality checks, monitoring, and observability
Infrastructure as Code (Terraform etc.)
Other Tools & Ecosystem
Experience with logging/monitoring
Exposure to data governance, cataloguing, and lineage tools
Ability to work with a range of structured, semi‑structured and unstructured file formats including Parquet, json, csv, xml, pdf, jpg.
Tools and methods to develop comprehensive data reliability and active metadata solutions.
Ability to work with and develop APIs (including data transformations).
Ability to deliver data de‑identification and anonymisation solutions.
Understanding of Cloud security frameworks (specifically on the AWS Cloud) including appropriate data encryption
Utilising AI within data engineering to drive performance
Facilitating search tools such as Solr
MLOps experience including familiarity with tools such as DVC & mlflow
Full data engineering cycle knowledge (tools and skills) for stream data
The Person You are someone who:
Takes ownership and thrives on improving how things are done
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
What else are we looking for?
Ability to work effectively both as an individual (e.g., during remote deep work) and within a team – supportive, collaborative.
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.
A proactive, detail‑focused, person who is curious and seeks continuous improvement both in our systems and their skills.
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 individual who takes a keen interest in productivity, working to optimise their own output as part of a team that values this highly.
MobyIdeals Customer‑focused: We drive outcomes that create value for the customer. We continually challenge ourselves on ‘what’s in it for the customer’. We drive win/win/win solutions.
Collaborative: We operate as one, fostering open communication, diverse contribution, cooperation and trust. We inspire teams towards a common goal for success.
Outcome‑orientated; We are driven by the end goal, rather than the process or steps to get there.
Accountable: We own decisions, are transparent, set clear expectations and consistently deliver on commitments.
Courageous: We actively contribute and constructively challenge with positive intent. We think big and move at pace.
Innovative: We own and proactively search for solutions. We positively embrace problems and lead change.
Competitive salary and rewards package including: Private Health care, 4 × salary Life cover, 25 days annual leave, increasing to 28 after 3 years service, salary‑sacrifice pension scheme and much more.
Inclusion We are an equal‑opportunity employer and value diversity at our company. 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 ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process – please contact us to request accommodation.
Please apply ASAP to simone.ryan@mobysoft.com with your CV. We will not work with any external agencies for this position.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology
Industries IT System Custom Software Development
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Languages
- English
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