Data Engineer

BJSS
Milton Keynes
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer (Data Science)

Data Engineer for Data Science — Marketing Analytics

Data Engineer (Data Science)

Data Engineer (Data Science)

Data Engineer, Data Engineer Data Analyst ETL Developer BI Developer Big Data Engineer Analytics Engineer Data Platform Engineer Cloud Data Engineer Azure Data Engineer Data Integration Specialist DataOps Engineer Data Pipeline Engineer

Senior DataOps Engineer

About the Role

We are DataOps advocates and use software engineering best practices to build scalable and re-usable data solutions to help clients use their data to gain insights, drive decisions and deliver business value. Clients don’t engage BJSS to do the straightforward things, they ask us to help on their biggest challenges which means we get to work with a wide range of tools and technologies and there are always new things to learn.

BJSS data engineers are specialist software engineers that build, optimise and maintain data applications, systems and services. This role combines the discipline of software engineering with the knowledge and experience of building data solutions in order to deliver business value.

As a BJSS data engineer you’ll help our clients deploy data pipelines and processes in a production-safe manner, using the latest technologies and with a DataOps culture.

You’ll work in a fast moving, agile environment, within multi-disciplinary teams of highly skilled consultants, delivering modern data platforms into large organisations.

You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc.

About You

You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services and platforms. You have a good understanding of coding best practices and design patterns and experience with code and data versioning, dependency management, code quality and optimisation, error handling, logging, monitoring, validation and alerting. You have experience in writing well tested object-oriented python. You have experience with using CI/CD tooling to analyse, build, test and deploy your code. You have a good understanding of design choices for data storage and data processing, with a particular focus on cloud data services. You have experience in using parallel computing to process large datasets and to optimise computationally intensive tasks. You have experience in programmatically deploying, scheduling and monitoring components in a workflow. You have experience in writing complex queries against relational and non-relational data stores.

Some of the Perks

Flexible benefits allowance – you choose how to spend your allowance (additional pension contributions, healthcare, dental and more) Industry leading health and wellbeing plan - we partner with several wellbeing support functions to cater to each individual's need, including 24/7 GP services, mental health support, and other Life Assurance (4 x annual salary) 25 days annual leave plus bank holidays Hybrid working - Our roles are not fully remote as we take pride in the tight knit communities we have created at our local offices. But we offer plenty of flexibility and you can split your time between the office, client site and WFH Discounts – we have preferred rates from dozens of retail, lifestyle, and utility brands An industry-leading referral scheme with no limits on the number of referrals Flexible holiday buy/sell option Electric vehicle scheme Training opportunities and incentives – we support professional certifications across engineering and non-engineering roles, including unlimited access to O’Reilly Giving back – the ability to get involved nationally and regionally with partnerships to get people from diverse backgrounds into tech You will become part of a squad with people from different areas within the business who will help you grow at BJSS We have a busy social calendar that you can choose to join– quarterly town halls/squad nights out/weekends away with families included/office get togethers GymFlex gym membership programme

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.